Cloud & Infrastructure Topics
Cloud platform services, infrastructure architecture, Infrastructure as Code, environment provisioning, and infrastructure operations. Covers cloud service selection, infrastructure provisioning patterns, container orchestration (Kubernetes), multi-cloud and hybrid architectures, infrastructure cost optimization, and cloud platform operations. For CI/CD pipeline and deployment automation, see DevOps & Release Engineering. For cloud security implementation, see Security Engineering & Operations. For data infrastructure design, see Data Engineering & Analytics Infrastructure.
Cloud Cost Optimization and Financial Operations
Covers strategies and organizational practices for minimizing and managing cloud and infrastructure spend while balancing performance, reliability, and business priorities. Candidates should understand cloud cost drivers such as compute, storage, data transfer, and managed services; pricing models including on demand pricing, reserved capacity commitments, savings plans, and interruptible or spot offerings; and engineering techniques that reduce spend such as rightsizing, autoscaling, storage tiering, caching, and workload placement. This topic also includes financial operations practices for continuous cost management and governance: resource tagging and cost allocation, budgeting and forecasting, chargeback and showback models, anomaly detection and alerting, cost reporting and dashboards, and processes to gate changes that affect spend. Interviewees should be able to estimate recurring costs and total cost of ownership, identify and quantify optimization opportunities, weigh trade offs between cost and business objectives, and describe tools and metrics used to monitor and communicate cost to stakeholders.
Capacity Planning and Resource Optimization
Covers forecasting, provisioning, and operating compute, memory, storage, and network resources efficiently to meet demand and service level objectives. Key skills include monitoring resource utilization metrics such as central processing unit usage, memory consumption, storage input and output and network throughput; analyzing historical trends and workload patterns to predict future demand; and planning capacity additions, safety margins, and buffer sizing. Candidates should understand vertical versus horizontal scaling, autoscaling policy design and cooldowns, right sizing instances or containers, workload placement and isolation, load balancing algorithms, and use of spot or preemptible capacity for interruptible workloads. Practical topics include storage planning and archival strategies, database memory tuning and buffer sizing, batching and off peak processing, model compression and inference optimization for machine learning workloads, alerts and dashboards, stress and validation testing of planned changes, and methods to measure that capacity decisions meet both performance and cost objectives.
Systems Administration Fundamentals
Fundamental systems administration tasks and operational practices that ensure reliable system running. This includes creating and managing user accounts, resetting credentials, managing file and directory permissions, installing and updating software, restarting and managing services, monitoring disk space and system resources, checking and interpreting system logs, routine backups of critical data, patching and security maintenance, and basic automation using scripts or configuration management. Candidates should be able to explain why these tasks matter for reliability and security and describe common workflows and incident handling for routine administration work.
Cloud Platform Fundamentals
Comprehensive understanding of core public cloud services and the primary trade offs when selecting among them across major providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Candidates should know compute options including virtual machines, managed compute, containers and serverless functions; storage types including object, block and file storage and lifecycle and archival strategies; managed database offerings for relational, non relational, and data warehouse workloads; networking fundamentals including virtual private networks, subnets, routing, load balancing, content delivery networks, and private connectivity; messaging and integration services such as message queues and event streaming; identity and access management and secrets management; monitoring, logging, and observability; autoscaling, elasticity, high availability, and basic disaster recovery patterns; and cost and pricing considerations. The topic also covers the trade offs between managed services and self managed infrastructure in terms of consistency, latency, cost, operational overhead, and durability, and the ability to map common workload requirements to the right service categories.
Backup and Recovery Fundamentals
Core principles and techniques for protecting, storing, and restoring data. Topics include backup models and types such as full, incremental, and differential backups; snapshotting and replication approaches; transaction log management and write ahead logging for databases; point in time recovery and continuous log based recovery; trade offs between Recovery Time Objective and Recovery Point Objective and how business requirements drive those trade offs; backup storage architectures for file systems and databases including local, off site, and geo redundant storage; backup scheduling, retention lifecycle and policy governance including encryption and compliance; and verification and integrity checks to ensure backups are restorable. Candidates should be able to describe step by step restore procedures, validation and testing techniques, common failure scenarios, and decision trade offs when choosing backup approaches for different application types.
Backup Strategy and Operations
Designing, implementing, and operating reliable backup systems that meet business recovery objectives. Topics include deciding what to back up and why, data classification and tiering, mapping Recovery Time Objective and Recovery Point Objective to backup types and cadence, backup frequency and windows to minimize production impact, retention policy design and lifecycle management, storage selection from local fast restores to off site or cloud tiered storage and air gapped copies, deduplication and compression trade offs, application aware backups and quiescing, automation and orchestration of backup workflows, monitoring and alerting for backup health, integrity verification and routine restore drills, encryption and access controls for backup data, cost and capacity planning, and planning restores at scale. Candidates should also be prepared to discuss trade offs, operational runbooks, and how backup operations support compliance requirements.
Linux and Unix Fundamentals
Practical command line and system administration knowledge for Linux and Unix style operating systems. Candidates should understand the file system hierarchy and common directories, file and directory permissions and ownership, user and group management, package management and software installation, service and startup management, system logging and basic log inspection, process management and signals including job control and background processes, and secure remote access using secure shell. Candidates should be proficient with common command line utilities for searching and text processing, input and output redirection and piping, and basic shell scripting constructs such as variables, conditionals, loops, and simple functions to automate routine tasks. Interview assessments may include hands on tasks and explanations such as navigating the file system, creating and managing files and directories, changing permissions and ownership, monitoring and terminating processes, inspecting logs to diagnose issues, managing services and packages, writing short scripts to automate workflows, and describing troubleshooting approaches for common system problems.
Google Cloud Platform Deep Dive
In depth coverage of Google Cloud Platform services across compute, networking, storage, orchestration, and platform integrations. Areas include Compute Engine instance management and machine type selection, Google Kubernetes Engine concepts for container orchestration, managed databases such as Cloud SQL and Firestore, Cloud Storage features including versioning and lifecycle, networking components including Virtual Private Cloud, VPN and load balancing, content delivery with Cloud CDN, eventing and messaging with Pub/Sub, and analytics with BigQuery. Candidates should demonstrate design decisions, operational practices, scaling strategies, security and identity considerations, and service limits and trade offs for production deployments.
Network Troubleshooting and Tools
Hands on skills for diagnosing and resolving network problems using standard command line and packet analysis tools. Topics include systematic troubleshooting workflows (start with reachability tests and escalate to captures), use of ping and traceroute to verify connectivity and routing paths, netstat and ss to inspect sockets and listening ports, arp and interface commands to check layer two mappings and interface state, router and switch show commands to view routing tables and interface status, and DNS troubleshooting using nslookup and dig. Deep packet capture and analysis with tcpdump and Wireshark is covered, including capture filters, interpreting packet headers and flows, identifying retransmissions, latency sources, and protocol errors. Emphasis is on interpreting tool output, correlating results across layers, and choosing the right tool at each step of an investigation.
Linux File Systems and Permissions
Comprehensive coverage of Linux file system internals, the standard filesystem hierarchy, practical administration tasks, and the permission and access control model. Candidates should understand the purpose of directories such as /etc, /var, /usr, /home, /tmp, and /opt; how files and directories are represented by inodes and directory structures; the role of file descriptors; and how mounts and different filesystem types and mount options affect behavior and available features. Practical skills include creating deleting moving copying and renaming files and directories; managing symbolic links and hard links; mounting and unmounting filesystems and configuring persistent mounts; checking disk usage and block device information; and basic backup restore and integrity check workflows. Permission and access control topics include user group and other classes; read write and execute bits and octal notation; special permission bits such as set user id set group id and the sticky bit; default creation mask and umask; ownership management with chown and chgrp; permission changes with chmod; and the use of access control lists for fine grained permissions when supported. The topic also encompasses user and group management as it relates to file ownership and access control including adding and removing users and groups managing group membership sudo configuration and the role of system account files such as /etc/passwd /etc/shadow and /etc/group. Interview assessment typically focuses on practical commands and procedures diagnosing permission related failures reasoning about secure defaults and trade offs between security and usability and designing safe backup mount and maintenance strategies.
AWS Compute and Networking
Covers design and operational knowledge of Amazon Web Services compute and network components. Candidates should understand Amazon Elastic Compute Cloud instances including instance families, sizing considerations, and pricing models such as on demand, reserved, and spot instances. Knowledge of Amazon Machine Images and launch templates, network interfaces, security groups, route tables, and Virtual Private Cloud architecture including public and private subnets, NAT gateways, and peering is expected. Expect questions on load balancing options including Application Load Balancer and Network Load Balancer, autoscaling groups and policies for availability and cost optimization, and hybrid connectivity patterns such as VPN and Direct Connect. Candidates should also be able to reason about high level multi tier application architectures on AWS, security and networking trade offs, and common infrastructure as code and automation approaches used to provision and manage these resources.
Infrastructure as Code Tools
Practical skills for authoring, deploying, and managing Infrastructure as Code templates and configurations across cloud platforms. Candidates should be able to author, read, and modify templates or configuration files for native platform tools such as AWS CloudFormation, Azure Resource Manager templates or Bicep, and Google Cloud Deployment Manager, as well as for multi cloud tools such as Terraform. Key areas include file formats such as YAML and JSON, declaring resources, passing parameters or variables, and emitting outputs, together with expressing resource dependencies, conditions, and mappings. Candidates should be able to write templates for common infrastructure patterns including networking such as virtual private clouds, subnets, and security groups, compute resources such as virtual machines and instances, and storage resources such as buckets and storage accounts. They should know how to deploy templates to create stacks or equivalent constructs, perform stack updates and change sets or plan and apply workflows, handle rollbacks and deletions, and manage state for tools that require it including remote state and state locking. Additional important skills are modularization through nested stacks or modules, template validation and linting, integration with continuous integration and continuous delivery pipelines, drift detection and remediation, and basic troubleshooting of template errors and deployment failures. Interview tasks may include writing or modifying short templates, explaining the lifecycle of a deployment, and comparing trade offs between native templates and multi cloud tooling.
Windows System Administration
Comprehensive administration of Microsoft Windows operating systems and Windows Server platform and related infrastructure, covering day to day operational tasks, configuration, security, and infrastructure design. Core areas include Active Directory concepts such as domains, forests, organizational units, trust relationships, and identity and access management; Group Policy design, scoping, inheritance, filtering, and deployment; server roles and services such as Domain Name System, Dynamic Host Configuration Protocol, file and print services, remote access, and remote desktop services; local and domain account and group management, role based and discretionary access control, and New Technology File System permission models; registry and service management, process and service lifecycle, and performance tuning; disk management, storage configuration, volumes, and backup and recovery strategies; patching and update management and maintenance windows; network configuration and troubleshooting including name resolution, routing, and firewall basics; monitoring, logging, and event log analysis for fault isolation and operational insight; administrative interfaces including graphical user interface and command line tools and remote administration techniques; automation and scripting with PowerShell for task automation, configuration management, and operational workflows, covering both basic PowerShell commands and broader scripting patterns; and security hardening, audit, and compliance practices for Windows environments. Candidates are expected to perform and describe practical tasks such as creating and managing user accounts and groups, applying and troubleshooting Group Policy settings, configuring core services and network settings, diagnosing Windows specific operational issues, and designing Windows oriented infrastructure for reliability, scalability, and security. Deep automation and advanced scripting topics may be assessed separately where appropriate.
Governance, Policy Enforcement, and Guardrails
Implementing policy as code, compliance checking, and safety mechanisms into infrastructure systems. Topics include automated cost controls, security policy enforcement, resource naming standards, tagging strategies, and preventing common misconfigurations. Discussion of balance between flexibility and governance.
Cloud Migration Strategy and Planning
Comprehensive planning and execution for migrating applications, data, and infrastructure from on premise environments to cloud platforms. Candidates should be able to assess existing application architecture, infrastructure, data flows, dependencies, performance and operational practices; prioritize workloads based on technical characteristics and business value; and select appropriate migration approaches such as rehost or lift and shift, replatform, refactor or rearchitect for cloud native, repurchase or move to software as a service, retire, or retain. Evaluation should include trade offs for each approach with respect to total cost of ownership, time to migrate, implementation effort, operational complexity, and long term optimization. Candidates should also plan phased migration execution including discovery and dependency mapping, migration waves, cutover and rollback strategies, and data migration and synchronization techniques. Interviewers may probe planning for domain name system updates, testing and validation, monitoring and operationalization after migration, security and compliance controls, and hybrid or coexistence patterns during transition. Candidates should be familiar with assessment tools and migration services, methods to estimate effort and risk, strategies for automation and continuous integration and continuous delivery pipelines, and training and organizational change management needed for a successful migration.
Network Troubleshooting Methodology
Focused approach to diagnosing network connectivity, performance, and reliability issues. Includes defining symptoms and scope, checking physical connectivity, verifying interface and link status, examining addressing and routing, investigating firewall and access control rules, performing path checks and packet captures, interpreting flow data and latency metrics, forming and testing hypotheses systematically, and escalating as needed. Familiarity with common network diagnostic tools and techniques, approaches to intermittent and performance degradation issues, and layer by layer reasoning are expected.
Configuration Management and Desired State
Configuration Management and Desired State focuses on ensuring systems remain in a known, consistent state across fleets and environments. Candidates should understand desired state configuration, idempotent operations, differences between declarative and imperative approaches, templating and variable management, configuration versioning, change control, validation and rollback strategies, drift detection and automated remediation, handling environment specific configuration, and the interaction between configuration management and operational concerns such as autoscaling. This topic also covers managing test environment configurations and using platform specific configuration systems such as Group Policy to apply and troubleshoot system settings at scale.
Cloud Strategy and Migration Planning
Fundamentals and planning practices for adopting cloud computing and migrating workloads to cloud environments. Coverage includes understanding cloud delivery models such as Infrastructure as a Service, Platform as a Service, and Software as a Service, and hybrid deployment options. Candidates should be able to evaluate migration strategies including lift and shift, refactor, replatform, and rebuild, and assess trade offs across cost, performance, security, compliance, and organizational readiness. Planning topics include workload assessment, suitability analysis, vendor evaluation for examples like Amazon Web Services, Microsoft Azure, and Google Cloud Platform, migration sequencing and runbooks, data migration and networking considerations, identity and access patterns, testing and rollback strategies, monitoring and observability, cost optimization and governance, and stakeholder and change management during migration.
Server Infrastructure and Resource Allocation
Covers designing and operating server infrastructure to support applications and workloads reliably and cost effectively. Topics include server architecture and configuration choices such as memory optimized, central processing unit optimized, storage optimized, and general purpose servers and when to use each. Includes virtualization concepts and virtual machines, hypervisors, containerization technologies such as Docker, and orchestration basics such as Kubernetes at a conceptual level. Covers infrastructure provisioning and automation practices including infrastructure as code and configuration management, and how to provision physical servers, virtual machines, or cloud instances. Emphasizes resource allocation and utilization optimization through right sizing, capacity planning, monitoring, scaling strategies, load balancing, redundancy, and high availability. Also addresses network connectivity and bandwidth planning, security and access considerations, cost trade offs, and physical constraints such as power, cooling, and space when comparing bare metal, virtualized, and cloud deployments.
Linux Process and Service Management
Technical topic covering operating system process and service management on Linux. Includes process states and hierarchies, signals and graceful termination, investigating processes with ps and top, interpreting the proc filesystem, managing daemons and services with systemctl and service commands, startup behavior, resource troubleshooting with top and free, log inspection in var log, and basic service restart and health check strategies. Candidates should be able to diagnose runaway processes and explain safe remediation steps.
Server Deployment and Configuration
Focuses on provisioning and performing the initial configuration of servers, whether physical or virtual. Skills assessed include operating system installation and hardening, network interface and IP configuration, DNS and domain joining, user and permission setup, baseline security and patching, installation of required runtime components and monitoring agents, backup setup, and initial performance tuning. Also covers imaging and provisioning strategies, automation and scripting for unattended installs, virtualization and cloud instance initialization, and validation steps to confirm a server is production ready.
Containerization and Virtualization Trade Offs
Examines trade offs between containers and virtual machines and the complexity of orchestrated environments. Topics include hypervisor and virtual machine basics, container isolation and resource models, performance and overhead comparisons, security and attack surface differences, when to prefer virtual machines versus containers, single container versus orchestrated multi container setups, operational complexity versus benefits, and criteria for selecting the appropriate platform at different scales.
Internet Protocol Suite Basics
Covers fundamental networking concepts centered on the Internet protocol suite and how its layers map to practical network functions. Topics include comparison of layering models, link layer operation and address resolution, Internet layer addressing and routing including Internet Protocol version four and Internet Protocol version six, subnetting and classless interdomain routing, transport layer semantics such as the Transmission Control Protocol three way handshake, congestion control and reliability, User Datagram Protocol use cases, common control protocols such as the Internet Control Message Protocol and address resolution mechanisms, network address translation, sockets and port concepts, domain name resolution, dynamic host configuration approaches, fragmentation and maximum transmission unit considerations, packet encapsulation and decapsulation, and basic troubleshooting and diagnostic concepts. Interviews assess conceptual understanding and the ability to reason about packet flow, addressing, and protocol behavior under failure or attack conditions.
DNS and DHCP Fundamentals
Focused understanding of name resolution and automatic address assignment systems and how they affect connectivity and system configuration. Topics include Domain Name System concepts such as name resolution, resource records, zones, delegation, caching behavior, authoritative versus recursive resolution, and common resolution failure modes. It also covers Dynamic Host Configuration Protocol concepts such as lease lifecycle, scopes and pools, address assignment modes, lease renewal and release, and interactions with network boot and provisioning systems. Practical troubleshooting techniques are emphasized, including diagnosing failed resolution, inspecting caches, examining DHCP lease information, using diagnostic tools and commands such as nslookup and dig, and resolving client configuration issues that impact network connectivity. The description also covers how these services are deployed in small and large environments, security and operational considerations, and how name and address services integrate with other networking and application components.
Network Diagnostic Tools and Commands
Practical knowledge of common network tools: ping (ICMP echo requests), traceroute (path tracing), ipconfig/ifconfig (IP configuration viewing), nslookup/dig (DNS queries), netstat (connection statistics), arp (address resolution protocol), and packet analysis tools like Wireshark. Know what each tool does, what output to expect, and how to interpret results.
Router and Switch Configuration
Practical knowledge and hands on skills to configure routers and switches using a command line interface on industry platforms. Core abilities include setting Internet Protocol addresses on interfaces, enabling and disabling interfaces, configuring hostnames and administrative access, saving and backing up configurations, and understanding configuration modes and command structure. Routing topics cover basic static routing, default routes, and introductory dynamic routing protocols and how to verify routing table entries. Switch topics cover virtual local area network creation and assignment, trunk configuration, port configuration and management. Security and policy configuration includes access control lists and basic interface security. Verification and troubleshooting skills include using platform show and status commands to inspect running configuration, routing table and interface state, using ping and traceroute to test connectivity, and interpreting logs and counters. Candidates should understand platform syntax differences such as those between Cisco and Juniper devices, configuration management and restoration processes, and common troubleshooting workflows. Familiarity with practicing these tasks in lab environments or simulators is expected.
Network Protocols and Encapsulation
Comprehensive knowledge of network protocol stacks and layering, including the Open Systems Interconnection model and the Transmission Control Protocol and Internet Protocol suite. Candidates should understand protocol purposes and behaviors at each layer, including connection oriented and connectionless transport, address resolution, discovery and multicast management, and control plane messages. Know common protocols such as the User Datagram Protocol, Internet Control Message Protocol, and Internet Group Management Protocol and how they differ in reliability, ordering, and use cases. Be familiar with tunneling and encapsulation technologies and their tradeoffs, including Virtual Private Network, Generic Routing Encapsulation, Multiprotocol Label Switching, overlay network technologies such as Virtual Extensible Local Area Network, Generic Network Virtualization Encapsulation, and Network Virtualization using Generic Routing Encapsulation. Understand encryption and integrity options at the network layer such as Internet Protocol Security and at the transport layer such as Transport Layer Security and Secure Sockets Layer, including tunnel versus transport modes. Be able to reason about encapsulation overhead, maximum transmission unit and fragmentation, latency and throughput implications, path characteristics, compatibility and interoperability, and typical deployment patterns for site to site tunnels, remote access, data center overlays, and network virtualization.
Static Routing and IP Configuration
Configure static routes on routers to direct traffic. Understand route syntax, routing table priorities, and how to verify traffic is taking the intended path. Configure IP addresses, subnet masks, and default gateways on devices to ensure Layer 3 connectivity.
Amazon Web Services Core Services
Comprehensive knowledge of the foundational Amazon Web Services that are commonly used to design, deploy, and operate cloud applications. This includes compute services such as Amazon Elastic Compute Cloud for virtual machines and instance families, Amazon Web Services Lambda for serverless functions, and Amazon Elastic Beanstalk for managed application platforms; storage services such as Amazon Simple Storage Service for object storage, Amazon Elastic Block Store for block volumes, and Amazon Elastic File System for shared file storage; database services such as Amazon Relational Database Service for managed relational databases, Amazon DynamoDB for NoSQL, and Amazon ElastiCache for in memory caching; networking and content delivery including Amazon Virtual Private Cloud networking concepts, subnets, security groups, load balancers, and Amazon CloudFront; container and orchestration options such as Amazon Elastic Container Service and Amazon Elastic Kubernetes Service; and management and security services including Identity and Access Management, Amazon CloudWatch monitoring and logging, Auto Scaling, and cost and service limit considerations. Candidates should understand core service characteristics, common configuration choices and trade offs, operational considerations such as high availability and fault tolerance, basic security and compliance approaches, performance and cost optimization, and guidance for selecting one service over another for typical application patterns.
Network Architecture and Topology
Design of network topologies and segmentation for scale and reliability. Covers data center and backbone topologies such as spine leaf, hub and spoke, full and partial mesh, WAN options including MPLS and SD WAN, redundancy and failover strategies, segmentation and micro segmentation for security, and design considerations for global and regional network growth and performance.
Active Directory and User Management
Basic understanding of Active Directory roles, user accounts and permissions, group policies, domain vs. workgroup, login processes, and how user authentication works. Understanding how these systems affect user access and support issues.
Virtualization and Cloud Services Basics
Basic understanding of virtual machines, VMs vs. physical systems, cloud infrastructure (IaaS, PaaS), and how cloud services affect support work. Understanding when issues might be cloud-related vs. local system issues.
Basic Network Architecture and Connectivity
Understanding of network topologies, how servers connect (LANs, VLANs, subnets), firewalls, proxies, gateways, and basic network troubleshooting. Knowledge of common connectivity problems and diagnostic approaches.
Cost Optimization and Business Justification
Covers evaluating and reducing costs across system architecture and procurement while building a financial case for change. Candidates should be able to identify cost drivers at the infrastructure and application level, including compute sizing, storage choices, data transfer, and managed service versus self managed trade offs. Expect concrete optimization techniques such as right sizing resources, using lower cost capacity options, reserved capacity, and moving to managed services when operational cost and reliability justify the premium. Also covers measurement and governance practices including cost tagging, billing analysis, budgeting, and continuous monitoring. On the business side, candidates should quantify savings and value using total cost of ownership and return on investment calculations, cost avoidance and efficiency metrics, payback period estimation, and sensitivity analysis for key assumptions. This topic includes evaluating procurement and supplier strategies, understanding short term versus long term value, balancing cost reductions with performance, maintainability, and supplier relationship health, and preparing clear cost estimates and business justification for stakeholders.
System Administration Tools and Monitoring
Knowledge of monitoring, logging, and operational tooling used to observe and manage infrastructure. Includes monitoring platforms such as Nagios, Zabbix, and Prometheus; log aggregation and search with ELK Stack or similar; metrics collection, time series databases, alerting rules, dashboards and visualization, instrumenting systems and services for observability, common system utilities such as top, iostat, sar, and vmstat, integration with incident management and ticketing systems, and determining which metrics matter for capacity and performance monitoring.
Infrastructure Operations and Technical Debt
Infrastructure Operations and Technical Debt covers practical ownership of physical and virtual infrastructure and how to manage long term maintainability. Topics include server hardware fundamentals, storage and RAID concepts, out of band management and hardware monitoring, capacity planning, lifecycle and vendor management, and how to identify, prioritize, and remediate technical debt in infrastructure. Candidates should be able to discuss trade offs when balancing infrastructure investment with feature work, refactoring or automation strategies to reduce operational burden, and techniques for planning upgrades or migrations with minimal disruption.
Cloud Infrastructure and Hybrid Architectures
Understanding cloud provider infrastructure (AWS, Azure, GCP), virtualization concepts (hypervisors, container orchestration), Infrastructure-as-a-Service (IaaS) considerations, hybrid cloud and on-premise integration, cloud cost optimization, and vendor-specific architecture patterns.
Business Focused Infrastructure Thinking
Understanding how infrastructure serves business needs and making decisions based on business value. Ability to translate technical complexity into business impact and speak with business stakeholders in their language.
Infrastructure Modernization and Cloud Adoption
Covers the end to end process of modernizing an organization infrastructure and adopting public and private cloud platforms. Interviewers assess experience managing traditional data centers and virtualization platforms including capacity planning, power and cooling considerations, hardware refresh cycles, and operational excellence practices. It also includes planning and executing migrations and hybrid architectures, choosing between infrastructure as a service, platform as a service, and software as a service, and selecting cloud native patterns such as containerization, microservices, and serverless where appropriate. Candidates should be able to describe strategy development for organizations with legacy and new systems, cost and risk trade offs, security and compliance impacts, networking and connectivity for hybrid setups, data migration approaches, rollback and cutover techniques, and how infrastructure as code and automation practices support a modernization roadmap.
Azure Compute Options and Trade Offs
Explain compute choices on Azure and the trade offs among them. Cover virtual machines for full operating system control, App Service for managed web hosting, Azure Functions for event driven serverless workloads, container instances for single container tasks, and Azure Kubernetes Service for orchestrated container platforms. For each option describe the operational responsibilities, scalability characteristics, cost model, deployment complexity, and suitability for stateful versus stateless workloads. Be prepared to justify a choice based on latency and performance needs, team expertise, deployment frequency, and cost constraints.
Linux Filesystems and Storage
Specialized knowledge of Linux storage subsystems, filesystem architectures, and maintenance. Covers filesystem internals and selection considerations for ext4, XFS, and btrfs; partitioning tools and workflows using fdisk and parted; logical volume management including physical volumes, volume groups, logical volumes, snapshots and resizing; adding and expanding disks, resizing filesystems, mount options and performance tradeoffs; filesystem integrity tools such as fsck, recovery techniques, inode and metadata concepts, capacity planning, and interaction with software and hardware RAID and storage arrays.
System Provisioning and Image Building Automation
Automating server provisioning from bare metal or cloud APIs. Building system images (OS images, container images) using automation. Provisioning orchestration and coordination. Cloud-specific provisioning (AWS APIs, Azure Resource Manager, GCP APIs). Handling initial configuration and deployment of services during provisioning. Immutable infrastructure concepts. Testing provisioned systems. Rapid infrastructure deployment for disaster recovery scenarios.
Network Equipment Selection and Justification
Choose appropriate network equipment for different design scenarios. Understand roles of different device types (access switches, distribution switches, core routers, firewalls). Consider performance requirements (throughput, latency), available ports, PoE capabilities, management features, and cost. Be able to justify why a device is appropriate for its role.
Kubernetes Troubleshooting
Covers diagnosing and resolving failures in container orchestration with an emphasis on Kubernetes pod and deployment issues. Topics include Kubernetes architecture and components, pod lifecycle and states, common failure modes such as CrashLoopBackOff, ImagePullBackOff, out of memory conditions, resource limit and quota problems, and node or scheduling issues. Practical debugging skills include using command line inspection and control tools, reading and correlating logs and events, using exec into containers, describing resources, checking node and cluster health, and interpreting health checks, liveness and readiness probes. Also includes distinguishing platform or cluster issues from application level faults, analyzing networking and service discovery problems, using monitoring and observability data, understanding rolling updates and deployment strategies, and applying remediation and rollback techniques for reliable recovery.
Cloud Infrastructure Knowledge (AWS/GCP/Azure)
Have working knowledge of at least one major cloud platform: common services (EC2/Compute Engine, RDS/Cloud SQL, S3/Cloud Storage, Load Balancers, VPCs, networking), typical failure modes, and how to troubleshoot within that platform. Understand concepts like availability zones, regions, and cross-region failover.
Windows Service and Process Management
Administering and troubleshooting Windows services and processes. Topics include viewing and managing running processes and resource usage with Task Manager and performance monitoring tools, using command line and PowerShell commands to list, start, stop, and restart services, and understanding service configuration such as startup types including automatic, manual, and disabled. Additional areas include service dependencies, recovery and restart options, service permissions and accounts, diagnosing service related errors using the Event Viewer and logs, and strategies for resolving resource contention, hung processes, and service failures.
Connectivity and User Access Troubleshooting
A combined diagnostic approach for incidents where users cannot reach resources because of either connectivity issues or account and permission problems. This includes triage steps to determine whether a failure is network related, system or service related, or related to authentication and authorization; using network and system diagnostic tools such as ping, traceroute, and domain name system lookups; checking firewall and access control lists; reviewing system and application logs; verifying user account status, group membership, and permissions; and testing access from different systems and network locations to isolate variables. Candidates should demonstrate logical fault isolation, escalation reasoning, and safe verification of account and permission state.
Hardware Troubleshooting and Diagnostics
Skills and processes for detecting, diagnosing, and remediating hardware faults across servers, storage, network interface cards, and peripherals. Topics include recognizing common failure modes for CPU, memory, disk, and NICs; using firmware and BIOS UEFI settings and diagnostics; interpreting hardware monitoring outputs and sensor data; running vendor diagnostic utilities and benchmarks; using SMART and storage diagnostics; distinguishing hardware from software issues; safe escalation and vendor engagement procedures; and planning replacements and mitigations to avoid data loss or downtime. Emphasis is on methodical data collection, reproducible tests, and appropriate escalation.
Networking, VPC, and Connectivity
Deep understanding of AWS VPC architecture including subnets (public and private), route tables, Network Address Translation (NAT), internet gateways, and VPC endpoints. Knowledge of security groups and network ACLs. Understanding of VPN and AWS Direct Connect for hybrid connectivity. DNS and Route 53 routing policies.
Infrastructure Domain Expertise Areas
Clearly articulate the specific infrastructure domains where you have depth: Linux systems, Windows servers, virtualization, networking, storage, monitoring, backup/disaster recovery, cloud platforms, or security. Quantify your experience (e.g., 'managed 150 Linux servers', 'designed backup strategy for 50+ applications'). Be honest about gaps.
Linux Package Management and Updates
Focuses on package management ecosystems and strategies for keeping Linux systems up to date. Knowledge of popular package managers and tools such as apt and apt get on Debian and Ubuntu distributions and yum and dnf on Red Hat and CentOS families, including installing updating and removing packages, dependency resolution, and repository management. Covers update policies and operational practices including security patching versus regular updates, kernel updates and associated testing, version pinning and compatibility considerations, strategies for minimal downtime such as rolling updates and staged deployments, and patch management workflows for production systems. Interviewers test command usage repository configuration troubleshooting dependency conflicts and designing safe update processes.
Linux Services and Process Management
Covers managing system services and processes on Linux systems. Includes knowledge of service managers such as systemd and legacy System V init, writing and modifying unit or init files, and service lifecycle commands for starting stopping enabling disabling restarting and reloading services. Also covers process monitoring and troubleshooting tools such as ps top htop pgrep and pkill, understanding process states including running sleeping stopped and defunct, identifying and handling zombie processes, managing background jobs, and using signals such as SIGTERM and SIGKILL for graceful and forced termination. Assessment may include diagnosing runaway processes memory or CPU issues service dependency ordering and techniques for ensuring reliable service operation and controlled restarts.
Linux Networking Configuration and Troubleshooting
Network interfaces and configuration files. IP addressing and routing configuration. Using netstat, ss, ip, ifconfig commands. DNS configuration and troubleshooting. Network connectivity testing (ping, traceroute, telnet, curl). Network statistics and monitoring. Firewall basics (iptables/firewalld). Understanding network namespaces.
PowerShell for Windows Server
Focused coverage of PowerShell as a systems administration and automation tool for Windows Server environments. Topics include PowerShell fundamentals such as cmdlet usage, the pipeline, objects and properties, scripting structure and modules, parameterization, and execution policy considerations. Administrative use cases include Active Directory management with relevant Active Directory cmdlets for creating and updating users and groups, file and folder operations, service control, event log querying, remote execution and session management, scheduled automation, error handling and logging, output formatting and piping to other utilities, and building reusable scripts and functions for routine server tasks. Emphasis is on writing maintainable scripts for automation, safe remoting, and integrating PowerShell into operational workflows.
Windows File Sharing and Permissions
Covers file sharing and permission management on Windows platforms, focusing on the Server Message Block protocol, creating and managing file shares, and differences between share permissions and New Technology File System permissions. Topics include permission inheritance and effective permissions, setting permissions on files and folders, taking ownership, special permissions, common troubleshooting scenarios for access denied errors, and command line tools such as icacls and takeown for auditing and remediation. Also includes designing secure share configurations and applying the principle of least privilege for file resources.
Windows Performance Monitoring and Troubleshooting
Platform specific observability and troubleshooting techniques for Windows systems. Topics include using Performance Monitor to collect counters, creating data collectors, interpreting Event Viewer and System logs, using Task Manager and Resource Monitor for live diagnostics, common Windows performance issues such as CPU and memory pressure, disk bottlenecks and network problems, baselining, and techniques to diagnose slow performance, application crashes, and service failures on Windows.
Backup and Recovery Administration
Practical administration of backup and recovery tools and processes used to protect business data. Topics include configuring backup policies, schedules, retention rules and storage targets; monitoring job status and configuring alerts for failures; troubleshooting failed backups and performing restores; understanding backup catalogs and media management; capacity planning for backup storage; and explaining backup strategies such as full, incremental, differential, and incremental forever. Candidates may be asked to describe tooling they have used, failure scenarios they resolved, and how they validated recovery objectives.
Network Monitoring and Observability
Covers strategies and tooling for observing network health and performance. Topics include active health checks versus passive telemetry, what to measure at interface and flow level, flow based telemetry such as NetFlow and sFlow and export formats such as Internet Protocol Flow Information Export, Simple Network Management Protocol based metrics, metrics hierarchy and granularity, retention and aggregation considerations, alerting strategy to manage signal to noise and avoid alert fatigue, dashboards and status pages, runbook and incident playbooks, topology and capacity planning, and common observability platforms and integrations such as Prometheus the Elastic stack and Splunk or cloud native alternatives. Interviews evaluate ability to design what to monitor how to collect it and how to turn telemetry into reliable operational signals.
GCP Core Services and Architecture Basics
Core Google Cloud Platform services and architecture concepts, including Compute Engine, Kubernetes Engine (GKE), App Engine, Cloud Functions, Cloud Run, Cloud Storage, BigQuery, Pub/Sub, Cloud SQL/Spanner, and IAM. Covers foundational cloud architecture topics such as projects and resource organization, VPC networking (regions, zones, subnets), identity and access management, security considerations, and scalable design patterns for cloud-native applications on GCP.
Microsoft Product and Azure Fundamentals
Practical knowledge of Microsoft enterprise offerings and core Azure services, and the ability to map those products to customer scenarios. Candidates should understand when to recommend Azure compute database and networking services versus platform services when Microsoft 365 Dynamics 365 or Power Platform are more appropriate and how to articulate trade offs for scalability security compliance and cost. Topics include Azure infrastructure and platform services virtual machines app services managed databases storage networking identity and governance considerations migration patterns and common integration approaches with on premise systems.
Microsoft Products and Ecosystem
Knowledge of Microsoft's enterprise product suite and how the pieces fit together as part of a broader technology stack. Covers Office 365 and Microsoft 365 (Teams, SharePoint, Exchange), Dynamics 365, the Power Platform (Power Apps, Power Automate, Power BI), and core Azure services, along with common integration patterns between them: identity and access management (Azure AD / Entra ID, single sign-on), data flows across products, typical enterprise deployment topologies, licensing and bundling models, and security and compliance considerations. Candidates should be able to explain how these products interoperate, when a Microsoft-native service is the right fit versus a third-party alternative, and the practical tradeoffs involved in enterprise adoption, rollout, and migration.
Cloud Migration Strategies
Know common cloud migration approaches commonly summarized as the six R strategies: Rehost, Replatform, Refactor or Rearchitect, Repurchase or move to a software as a service offering, Retire, and Retain. For each approach explain the rationale, expected cost and effort, risks, and example scenarios. Be ready to describe basic migration planning steps including discovery and assessment, cost and risk evaluation, data migration techniques, cutover and rollback planning, validation testing, and post migration optimization. For entry level discussions emphasize practical examples of rehosting and replatforming and the trade offs between operational simplicity and long term modernization.
Infrastructure Coding and Optimization
Design, author, and optimize production grade code that implements infrastructure automation and runtime infrastructure behavior. Candidates should demonstrate writing maintainable and modular infrastructure as code modules or automation scripts, handling resource provisioning and scaling logic efficiently, ensuring idempotency and safe retry strategies, implementing robust error handling and timeout management, and optimizing for latency, throughput, and cost. Interviewers will evaluate clean code patterns, performance profiling and benchmarking approaches, trade offs between complexity and performance, testing strategies for infrastructure code, and how telemetry and observability feed into automated remediation and rightsizing decisions.
Cloud Migration Strategy and Cutover
Plan end to end migration using common patterns such as rehost replatform refactor and repurchase and map those choices to workload characteristics. Define sequencing and phase gates plan pilot migrations and develop detailed cutover playbooks that include data replication validation reconciliation and rollback triggers. Address zero downtime techniques such as parallel running incremental synchronization canary deployments and feature gates plus testing strategies metrics to detect regressions and run books for rollback and post cutover verification.
Network Design and Security Architecture
Design secure and reliable network and security architectures for cloud environments. Topics include virtual network and subnet design, segmentation and firewall policies, private connectivity patterns, load balancing and failover, encryption in transit and at rest, key management fundamentals and integration with key vaults, identity and access management boundaries, denial of service protections, network monitoring and logging, and compliance and regulatory controls such as data residency and auditability. Interviewers look for practical trade offs between usability security and operational complexity.
Azure Core Services Overview
Demonstrate familiarity with the primary categories of Azure services and the common offerings within each category. Explain compute options such as virtual machines, App Service, and Azure Functions; storage options such as blob storage, file shares, queue and table storage; networking constructs such as virtual networks and load balancers; and database offerings such as Azure SQL Database, Azure Database for PostgreSQL, and Cosmos DB. Also be familiar with security and identity tools like Azure Key Vault and role based access control, and with monitoring solutions such as Azure Monitor and Application Insights. For each category explain typical use cases, operational trade offs, and basic selection criteria based on control, scalability, cost, and maintenance burden.
Kubernetes and Container Orchestration Fundamentals
Core knowledge of container orchestration with a focus on Kubernetes fundamentals and everyday operations. Candidates should understand the role of orchestration and why it is used at scale, and be familiar with core Kubernetes objects including pods as the smallest deployable unit, deployments and replica management, replica sets, services for inter pod communication and service discovery, config maps and secrets for configuration and secret management, and the basic lifecycle of containerized applications. Coverage includes deployment and scaling workflows, rolling update and rollout strategies including rollbacks, common deployment patterns such as blue green and canary, and basic health checks and probe concepts. Practical operational skills include common kubectl commands for deploying, inspecting, scaling and debugging applications, reading pod logs and events, describing resources, port forwarding, and diagnosing common failure modes. Candidates should also understand high level trade offs between using managed cloud provider Kubernetes services and operating self managed clusters including operational overhead, upgrades, cost, and reliability considerations. The scope focuses on fundamentals and day to day operations and excludes advanced cluster administration topics such as custom operators, admission controllers, control plane internals, and deep platform level configuration.
Link Layer Troubleshooting
Troubleshooting at the link layer and local network segment. Topics include Address Resolution Protocol operation and neighbor tables, Media Access Control addressing and switch forwarding behavior, duplicate address detection and gratuitous neighbor announcements, spanning tree protocol related issues, duplex and speed negotiation failures, interface flapping, broadcast storms, and physical media faults. Candidates should know how to inspect neighbor and media access control tables, use link diagnostics such as ethtool, and capture link layer traffic to identify root causes.
Wide Area Network Design and Optimization
Focuses on designing and tuning intersite connectivity for multi site architectures. Candidates should cover connectivity options and tradeoffs including internet based virtual private networks, dedicated circuits and multiprotocol label switching, software defined wide area networking overlays, and direct cloud connectivity. Expect discussion of route distribution and interaction with interior and exterior routing, path selection, traffic engineering, quality of service end to end across the wide area, latency and jitter mitigation, bandwidth and capacity planning, failover and site reachability strategies, and techniques for accelerating or caching traffic. Candidates should explain operational concerns such as monitoring, health checks, failover testing, and cost versus performance tradeoffs when choosing designs.
Network Troubleshooting and Root Cause Analysis
Covers structured, multi layer approaches to diagnosing complex network and cross component failures. Candidates should demonstrate how they characterize incidents, assess scope and impact, reproduce problems when safe, form testable hypotheses, and apply systematic elimination to isolate the root cause. Expect discussion of packet capture analysis, path and flow troubleshooting, interpreting router and switch show commands, checking forwarding information and ARP tables, correlating syslog and application logs, verifying Domain Name System and name resolution, and identifying configuration errors, access control or firewall blocks, routing and forwarding anomalies, MTU and performance issues, and intermittent faults. Candidates should describe tooling and telemetry patterns they use to validate hypotheses, how they collaborate with application and infrastructure teams to eliminate components, how they document findings, and how they drive remediation and post incident reviews to prevent recurrence.
Managed Services and Self Managed Tradeoffs
Compare managed cloud services with self managed alternatives and explain when to choose each based on scale cost operational burden and required control. Cover operational ownership upgrade and patch cadences security responsibilities portability and vendor lock in risk performance characteristics and debugging and observability differences. Use concrete workload examples such as managed databases managed event services serverless compute and self hosted containers or virtual machines to justify decisions and to surface long term operational and migration implications.
Cloud Migration and Implementation Roadmap
Designing realistic, phased migration strategies and implementation plans that move customer workloads to the cloud while minimizing downtime, cost, and operational risk. Candidates should cover migration patterns such as lift and shift, replatforming, and refactoring, data migration and synchronization approaches, cutover and rollback plans, validation and testing strategies, pilot and proof of concept design, integration with existing systems, automation and runbook creation, operational readiness, and measurable success criteria. Answers should show how to sequence work, mitigate risks, and reduce business disruption across people process and technology dimensions.
Cloud Service Selection and Tradeoffs
Frameworks and criteria for evaluating cloud platform services and making pragmatic architecture decisions. Coverage includes managed versus self managed offerings, choice of compute such as serverless functions versus containers versus virtual machines, storage class and database type selection, networking and regional availability, security and compliance considerations, operational burden and run book requirements, vendor lock in and portability risks, performance and latency trade offs, and cost modeling and total cost of ownership. Candidates should be able to articulate trade offs, provide examples of making service choices for real world constraints, and explain how selection affects operability and future evolution.
Infrastructure Cost Optimization and Resource Efficiency
Discuss strategies and operational practices for controlling infrastructure spend while maintaining reliability and performance. Topics include right sizing compute and storage resources identifying and reclaiming idle capacity purchasing strategies such as reserved or spot capacity autoscaling and scheduling workloads storage tiering and data lifecycle policies efficient networking design tagging and cost allocation and observability for cost drivers. Be prepared to discuss trade offs between cost savings and availability governance processes for budgets and chargebacks and generic tooling and metrics for monitoring and reporting cost.
Server Installation and Configuration
Procedures and best practices for provisioning and configuring servers on bare metal and virtual hosts. Topics include planning and performing operating system installation for Linux and Windows servers, initial system configuration such as host naming Internet Protocol addressing partitioning time zone and locale, disk and volume management, firmware and driver considerations, post installation hardening including patching firewall configuration and service minimization, installing management agents, and creating reproducible images and automated provisioning pipelines. Candidates should be able to describe both manual installation workflows and automation approaches to reduce configuration drift and speed recovery.
Infrastructure Cost Optimization
Methods and tradeoffs for reducing infrastructure spend while preserving reliability and performance. Topics include gaining cost visibility through tagging and cost allocation, rightsizing compute and storage resources, selecting appropriate pricing and committed capacity options, using preemptible or spot capacity for non critical workloads, storage tiering and lifecycle policies, reducing data transfer and cross region costs through architecture choices, optimizing autoscaling schedules and workload placement, and quantifying savings versus operational risk and complexity. Candidates may be asked to propose prioritized cost reduction plans with estimated savings and mitigation of operational risk.
Infrastructure Strategy and Vision
Focuses on long term planning and strategic thinking about infrastructure to support business objectives. Topics include building roadmaps, capacity planning and forecasting, aligning infrastructure investments with product and business priorities, evaluating emerging technologies and migration strategies, cost and vendor trade offs, technical debt management, and defining metrics to measure progress and impact.
Infrastructure Standards and Best Practices
Covers the skills and approaches involved in defining, influencing, and operationalizing infrastructure standards and best practices across teams. Topics include creating configuration management policies and infrastructure as code patterns, selecting and onboarding tooling, defining monitoring and alerting conventions, writing operational runbooks and documentation, establishing change management and governance processes, measuring conformance, and driving cross team adoption while balancing flexibility and enforcement.
Network Configuration and Verification
Demonstrate practical skills for configuring and verifying network connectivity and settings across servers and cloud resources. Cover IP addressing and subnetting, routing basics, virtual local area networks, firewall and access control rule configuration, DNS and name resolution, and tools for verification such as ping, traceroute, and network socket utilities. Include testing methodologies for both on premise and cloud networks, validation strategies for changes, and documenting and communicating network configurations.
Virtual Machine and Hypervisor Management
This topic covers management of virtual machines and the underlying hypervisor infrastructure. Topics include creating and configuring virtual machines with appropriate CPU memory and storage allocation, virtual networking and host networking considerations, host resource management and overcommit behavior, snapshot and checkpoint usage and limitations, live migration and high availability of virtual hosts, backup and restore strategies for virtual machines, performance troubleshooting and tuning, resource scheduling and placement, and capacity planning for virtualized clusters. Candidates should be able to compare hypervisor platforms and explain trade offs when selecting a virtualization approach versus alternative technologies.
Infrastructure Architecture and Design
This topic assesses the candidate's ability to design scalable reliable and maintainable infrastructure systems. Expect questions on architecture principles such as modularity separation of concerns and fault isolation, deciding when to scale horizontally versus vertically, redundancy and high availability patterns, disaster recovery and continuity planning, load distribution and traffic shaping strategies, capacity and cost forecasting, security and network segmentation, and how monitoring and observability are integrated into design. Candidates should justify design trade offs with reasoning about failure modes operational burden and total cost of ownership.
Multi Operating System Infrastructure
Examines design and operational practices for environments that include multiple operating systems. Topics include interoperability between Windows and Linux systems, directory and identity integration across platforms, file sharing and permission models, cross platform configuration management and automation, unified monitoring and logging, patch management and lifecycle coordination, virtualization and containerization strategies to abstract operating system differences, network and service interoperability, and security implications of heterogeneous fleets. Candidates should be able to describe tooling and patterns to reduce friction and operational risk in mixed operating system environments.
Linux and Windows Server Administration
Demonstrate deep hands on administration skills across both Linux and Windows server ecosystems. For Linux cover command line proficiency, package management, service and process supervision, systemd and init knowledge, filesystem management and kernel tuning, user and permission management, security hardening, patching, and automation. For Windows cover Active Directory, Group Policy, common server roles, PowerShell scripting, Windows update and patching practices, and Windows storage and networking. Include examples of configuring, troubleshooting, performance tuning, automation, and cross platform interoperability at scale.
Virtualization and Cloud Infrastructure
Explain experience with virtualization platforms and public cloud providers and how you have designed, migrated, operated, and optimized workloads in those environments. Topics include virtualization technologies such as VMware and Hyper V, cloud platforms such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure, instance sizing and placement, network and storage architecture in cloud, migration strategies, cost and performance trade offs, hybrid and multi cloud patterns, containerization with Docker and orchestration with Kubernetes, and infrastructure as code and automation for repeatable deployments and operations.
Operating System Administration
Covers practical administration of major operating systems, principally Linux distributions and Microsoft Windows Server. Topics include installation and patching strategies, package and service management, user and permission management, file system and storage administration, process and resource management, service supervision, logging and monitoring, boot and init systems, automation using shell scripts or configuration management tooling, troubleshooting common OS level failures, and integration with directory and authentication services. Interviewers evaluate hands on skills, tooling choices, and the ability to diagnose and resolve operating system issues.
Server Installation and Lifecycle Management
Covers end to end server lifecycle tasks and decision making for physical and virtual servers. Topics include hardware selection, racking and cabling best practices, BIOS or UEFI configuration, firmware updates, storage subsystem configuration such as hardware RAID and SAN or NAS integration, network interface and bonding setup, bare metal operating system installation and driver management, provisioning workflows and automation, patching and firmware management, hardware monitoring and telemetry, capacity planning, planned maintenance and safe decommissioning. Interviewers evaluate safe procedures, verification and rollback strategies, automation of provisioning, and lifecycle planning.
Networking Configuration and Troubleshooting
Covers practical networking configuration and diagnostic skills needed to build and operate reliable networks. Topics include IP addressing and subnetting, VLANs and layer two concepts, routing and route selection, switching, DNS and DHCP configuration, firewall and access control rules, network address translation, load balancing basics, virtual and overlay network technologies, packet capture and tracing methodologies, and structured troubleshooting approaches used in lab or production environments. Interviewers will probe the candidate's ability to isolate issues, validate configurations, and apply safe changes.
Infrastructure Vision and Long Term Strategy
Explore the candidate s perspective on long term infrastructure improvements and strategic evolution. Topics include identifying legacy systems and sources of toil, proposing migration or modernization strategies, balancing short term operability with long term investment, cost optimization approaches, governance and platform decisions, and road mapping priorities. Interviewers assess whether recommendations are pragmatic, data driven, and considerate of organizational constraints and risk.
Microsoft Product Knowledge
Knowledge of Microsoft enterprise products and cloud services used in large scale environments. Topics include Windows Server operating systems and server role administration, Active Directory and group policy design, deployment and hardening practices, Microsoft cloud offerings such as Azure infrastructure and platform services, Azure Active Directory and hybrid identity patterns, and business productivity services including Office 365 and Dynamics 365. Candidates should understand operational concerns such as patching and update management, licensing considerations, migration strategies between on premises and cloud, and how Microsoft products integrate with broader infrastructure and security controls.
Cloud Integration and Hybrid Network Architecture
Designing connectivity and integration between on premise infrastructure and public cloud environments, including hybrid and multi cloud topologies. Topics include dedicated interconnect options and internet based connectivity, routing and network topology trade offs, virtual private networks and software defined wide area networks, network virtualization, security boundary and identity considerations across environments, latency and throughput implications, cost trade offs for interconnects, and operational practices for managing hybrid infrastructure and multi cloud complexity.
Infrastructure as Code Design and Modularity
Deep expertise with Terraform, CloudFormation, or Pulumi at scale. Module design patterns, code organization across monorepos vs polyrepos, state management strategies, remote backends, workspaces, and dependency management. Version control strategies for infrastructure, handling breaking changes, and managing IaC across teams. DRY principles and reducing repetition across infrastructure definitions.
Infrastructure Scaling and Capacity Planning
Operational and infrastructure level planning to ensure systems meet current demand and projected growth. Topics include forecasting demand headroom planning and three to five year capacity roadmaps; autoscaling policies and metrics driven scaling using central processing unit memory and custom application metrics; load testing benchmarking and performance validation methodologies; cost modeling and right sizing in cloud environments and trade offs between managed services and self hosted solutions; designing non disruptive upgrade and migration strategies; multi region and availability zone deployment strategies and implications for data placement and latency; instrumentation and observability for capacity metrics; and mapping business growth projections into infrastructure acquisition and scaling decisions. Candidates should demonstrate how to translate requirements into capacity plans and how to validate assumptions with experiments and measurements.
Cost Optimization at Scale
Addresses cost conscious design and operational practices for systems operating at large scale and high volume. Candidates should discuss measuring and improving unit economics such as cost per request or cost per customer, multi tier storage strategies and lifecycle management, caching, batching and request consolidation to reduce resource use, data and model compression, optimizing network and input output patterns, and minimizing egress and transfer charges. Senior discussions include product level trade offs, prioritization of cost reductions versus feature velocity, instrumentation and observability for ongoing cost measurement, automation and runbook approaches to enforce cost controls, and organizational practices to continuously identify, quantify, and implement savings without compromising critical service level objectives. The topic emphasizes measurement, benchmarking, risk assessment, and communicating expected savings and operational impacts to stakeholders.
Infrastructure Automation and Provisioning
Covers designing, implementing, and operating automated infrastructure provisioning and configuration using Infrastructure as Code practices and complementary automation patterns. Candidates should be able to select and author declarative infrastructure definitions with tools such as Terraform, CloudFormation, and Azure Resource Manager templates, and discuss configuration management tools such as Ansible, Puppet, or Chef. Core skills include modular and reusable code organization for multiple environments, variable and output management, remote state management and locking, idempotency and atomicity of operations, and version control integration for infrastructure artifacts. Candidates should understand testing and validation practices including linting, plan or dry run validation, unit and integration testing of infrastructure changes, and drift detection and remediation. The topic includes strategies for safe changes and rollbacks, change coordination, error handling and recovery, and deployment patterns such as canary and blue green where applicable. It also encompasses automation and orchestration patterns, immutable infrastructure and self healing practices, autoscaling and scaling policies, automated patching and updates, secrets handling patterns using secret managers, and integrating observability and monitoring into automated workflows. Finally, candidates should be able to reason about trade offs between imperative and declarative approaches, scaling Infrastructure as Code across large projects and teams, and security and compliance considerations for automated provisioning.
Technology and Platform Selection
Evaluation and justification of technologies services and platforms used to implement systems across the stack. Candidates should be able to select compute options including virtual machines containers and serverless platforms as well as orchestration and workflow engines messaging systems batch and streaming processing engines object and block storage data warehouses and other data platforms. The topic encompasses comparing managed services and self managed deployments cloud versus on premise hosting and choosing frameworks runtimes and overall stacks based on workload characteristics. Assessment focuses on weighing trade offs across cost operational overhead reliability latency and throughput scaling characteristics vendor lock in development velocity team familiarity and learning curve maturity and community support security and compliance and monitoring and debugging complexity. Candidates should demonstrate how system requirements map to service capabilities justify build versus buy decisions and managed service choices design proof of concept experiments and outline migration and rollout planning while making pragmatic choices that balance performance cost and operational risk.
Azure Services Deep Dive
In depth knowledge of Microsoft Azure platform services, architecture trade offs, operational considerations, and best practices. Candidates should be able to discuss compute options such as Azure Virtual Machines sizing, availability sets and zones, maintenance windows, and scale sets; storage options including Azure Storage account types, redundancy and replication choices, and backup strategies; database offerings such as Azure SQL Database, managed instances, high availability and replication patterns; networking fundamentals including Azure Virtual Network design, subnetting, network security groups, peering, service endpoints and private links, and load balancing with Application Gateway and Azure Load Balancer; container orchestration and related considerations such as Azure Kubernetes Service concepts, cluster sizing, upgrades, and networking models; serverless and platform services such as Azure Functions and event driven architectures; infrastructure as code and deployment pipelines using Azure DevOps and templates; identity and secrets management with Azure Active Directory and Azure Key Vault including secret rotation; monitoring, logging, and cost optimization strategies; and security, compliance, and disaster recovery planning across these services. Interview evaluation focuses on architectural reasoning, trade off analysis, operational runbook concerns, scaling and performance tuning, failure modes and recovery, and automation using provider native tooling.
Cloud Platform Experience
Personal account of hands on experience using public cloud providers and the concrete results delivered. Candidates should describe specific services and patterns they used for compute, storage, networking, managed databases, serverless and eventing, and explain their role in architecture decisions, deployments, automation and infrastructure as code practices, continuous integration and continuous delivery pipelines, container orchestration, scaling and performance tuning, monitoring and incident response, and cost management. Interviewees should quantify outcomes when possible with metrics such as latency reduction, cost savings, availability improvements or deployment frequency and note any formal training or certifications. This topic evaluates depth of practical experience, ownership, and the ability to operate and improve cloud systems in production.
Amazon Web Services Architecture and Operations
Advanced knowledge of Amazon Web Services platform services, architectural patterns, operational best practices, and trade offs. Candidates should be able to justify compute choices such as Amazon Elastic Compute Cloud instance types, instance sizing and performance tuning, and Auto Scaling strategies; storage and durability decisions including Amazon Simple Storage Service storage classes, versioning, lifecycle management, replication and archival strategies; database patterns such as Amazon Relational Database Service with multi availability zone deployments, read replicas and failover behavior, and Amazon DynamoDB capacity modes and throughput trade offs; networking design including Amazon Virtual Private Cloud topology, subnet and routing strategies, peering, gateway and interface endpoints, and network security controls; infrastructure as code and deployment patterns using Amazon CloudFormation including stack management and automated rollbacks; serverless and event driven design such as Amazon Web Services Lambda concurrency and cold start considerations and integration with Amazon API Gateway; content delivery and caching with Amazon CloudFront and Amazon ElastiCache including cache invalidation and expiry strategies; service specific operational concerns such as rate limiting, backup and restore, monitoring, logging, alerting and incident response; and cross cutting concerns including identity and access governance, cost optimization, disaster recovery planning and testing, and automation. Interview focus is on design reasoning, anticipating failure modes, scaling strategies, performance tuning, observability and automation, and provider specific operational practices.
Infrastructure as Code and Configuration Management
Infrastructure as Code and Configuration Management covers designing, implementing, and operating infrastructure defined as code and the practices that keep that infrastructure consistent and auditable. Topics include Infrastructure as Code principles and patterns, declarative versus imperative approaches, idempotency, state management, module and template design for reusable infrastructure, version control integration, testing and validation of infrastructure code, drift detection and remediation, safe rollout and rollback strategies, policy as code and Git operations for infrastructure, and how to scan and remediate infrastructure misconfigurations. This topic also encompasses integration points with system configuration tools and considerations for managing secrets and secure defaults within infrastructure definitions.
Cloud Architecture Fundamentals
Fundamental concepts and design patterns for cloud based systems and services. Topics include core service categories such as compute, storage, networking and databases, virtual machines and containers, serverless computing, managed services, and infrastructure as code. Understand deployment and service models including infrastructure as a service, platform as a service, and software as a service. Evaluate architectural patterns including monolithic, microservices, and serverless approaches, and how they influence scalability, availability, reliability, performance, security, and cost. For more senior roles include distributed systems concepts, consistency and partitioning models, trade off analysis, fault isolation, observability and operational practices in cloud native design.
Understanding the Company's Infrastructure Context
Research the company's public infrastructure information (engineering blog, tech talks, published case studies, job description). Understand what systems they operate at scale, what problems they likely face, and what your role would contribute to.
Networking Fundamentals and Troubleshooting
Comprehensive coverage of core computer networking principles and the practical diagnostic and operational skills required to design, operate, and troubleshoot production systems. Fundamental concepts include the Open Systems Interconnection model layers, the Transmission Control Protocol and the Internet Protocol stack, the User Datagram Protocol, socket and port semantics, address notation and subnetting, Network Address Translation, Dynamic Host Configuration Protocol, and the Domain Name System resolution process. Infrastructure and architectural topics include switching and virtual local area networks, routing concepts and routing table behavior including Border Gateway Protocol basics, load balancing strategies and failure modes, firewall and access control, virtual private network technologies, and container and service network communication patterns. Diagnostic and tooling skills cover connectivity testing and path analysis, process and socket inspection, packet capture and analysis, and common command line tools and utilities used for network investigation. Performance and reliability topics include latency, bandwidth and throughput, packet loss, congestion and congestion control, connection pooling, timeout and retry strategies, and approaches to optimization. Observability, monitoring, and security practices include collecting and interpreting network metrics, logs, and traces, using packet capture tools for root cause analysis, and understanding how network issues surface in distributed applications. At senior levels expect discussion of network performance tuning, capacity planning, load balancer behavior at scale, and design decisions that affect system reliability and security.
Infrastructure Implementation and Operations
Hands on design, deployment, and operational management of infrastructure components and services. This includes setting up and configuring load balancers, database replication and high availability, caching layers, networking and network security, service discovery and routing, container deployment and orchestration, monitoring and observability, logging and alerting, backup and disaster recovery strategies, and secrets management in runtime. Candidates should be able to walk through concrete implementations, explain trade offs, demonstrate troubleshooting and performance tuning, and show how infrastructure components integrate to meet availability, scalability, and security requirements.
Systems and Infrastructure Experience
Describe and analyze your hands on experience designing, operating, and maintaining infrastructure and systems. Candidates should be prepared with three to four concrete examples of systems or infrastructure projects they directly contributed to, including quantitative scale metrics such as user counts, requests per second, data volumes, throughput, and geographic distribution. Discuss architecture decisions and trade offs, component choices, platform boundaries, and how the design met requirements for scalability, reliability, performance, and security. Cover operational aspects such as deployments, configuration management, automation and infrastructure as code, monitoring and observability, incident response and remediation, capacity planning, and disaster recovery and business continuity. Include experience with large scale and multi region deployments, data center operations, networking at scale, and integration points. Also cover enterprise information technology topics where relevant, for example servers and endpoints, storage systems, networking hardware, identity and access infrastructure such as Active Directory, firewalls, routers and switches, and the differences and migration considerations between on premise and cloud infrastructure. Be ready to explain specific challenges faced, how issues were diagnosed and resolved, trade offs made, and the candidate's exact role and contributions.
Cloud Monitoring and Troubleshooting
Monitoring, logging, and troubleshooting in cloud environments. Covers cloud provider monitoring services and patterns such as CloudWatch, Azure Monitor, and Google Cloud Monitoring; setting up metrics and alarms; centralized logging and log analysis in cloud contexts; health checks and auto recovery; diagnosing common cloud issues like performance degradation, networking and permissions problems, and resource exhaustion; and best practices for instrumenting cloud native services.
Domain Name System Resolution and Troubleshooting
Deep understanding of the Domain Name System resolution process and the related operational concerns. Topics include the roles of recursive resolvers and authoritative name servers, zone delegation and glue records, common record types such as address records, canonical name records, mail exchange records, name server records, text records, and service records, and how time to live values affect caching and propagation. Candidates should be able to explain frequent failure modes such as misconfigured records, propagation delays, delegation mistakes, name server outages, and secure configuration problems, and demonstrate troubleshooting techniques using query tools and packet capture to trace queries and determine whether issues stem from authoritative sources, caches, transport, or configuration.
Routing Fundamentals and Diagnostics
Core routing concepts and practical diagnostics for both control plane and data plane issues. Coverage includes static versus dynamic routing, prefix notation and classless interdomain routing, routing tables, default routes, longest prefix selection, route summarization and redistribution, and policy based routing. Candidates should understand convergence and failover behavior and be familiar with routing protocols such as Border Gateway Protocol for interdomain routing and Open Shortest Path First for intradomain routing, including path selection attributes and techniques such as local preference, autonomous system path preference, multi exit discriminator, and equal cost multipath. Diagnostic topics include traceroute analysis, route advertisement inspection, route table validation, and troubleshooting common faults like route leaks, blackholes, incorrect next hops, and aggregation errors.
Cloud Cost Modeling and Planning
Building and evaluating cost models for cloud adoption and migration, including estimating total cost of ownership, comparing on premise and cloud deployment costs, and developing business cases for cloud investments. Skills include mapping workload characteristics to cloud pricing models, forecasting usage and growth, accounting for licensing and migration one time costs, modeling ongoing operational costs, and incorporating discounts such as reserved capacity and spot pricing. Also covers scenario and sensitivity analysis, capacity planning and rightsizing, cost governance practices such as tagging and showback or chargeback, measuring financial outcomes and return on investment, and strategies for post migration cost optimization and financial monitoring.
Cloud Platforms and Infrastructure
Comprehensive understanding of cloud computing platforms and core infrastructure concepts. Candidates should know service models including Infrastructure as a Service, Platform as a Service, and Software as a Service, and be familiar with major providers such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Core technical knowledge includes compute models, storage systems, networking fundamentals such as domain name system and load balancing, virtual private networks and network segmentation, virtualization, containerization for example Docker, orchestration with Kubernetes, serverless architectures, and microservices. Candidates should be able to evaluate trade offs between managed services and self managed solutions with respect to cost, reliability, operational burden, scalability, performance, security, and vendor lock in, and reason about when to choose platform managed services versus building custom infrastructure. The topic also covers system design considerations for high availability and fault tolerance, capacity planning and autoscaling, monitoring and observability, deployment strategies, and operational practices such as infrastructure as code and continuous integration and continuous delivery. This knowledge is critical for backend engineers, site reliability engineers, and DevOps roles and is increasingly relevant across many engineering positions.
Cloud and Infrastructure Architecture
Design of cloud and infrastructure solutions from simple cloud applications to end to end cloud systems and large scale infrastructure. Topics include stateless versus stateful design, VPC and networking basics, security groups and firewalls, multi environment management, deployment topology, capacity planning, global distribution, cloud native services, infrastructure as code, and operational concerns for sustaining large scale cloud environments.
Vendor Selection and Technology Evaluation
Approach for evaluating vendors, tools, and technology options before committing to them. Topics include defining requirements and success criteria, creating structured evaluation and scoring criteria, running proof of concept or pilot exercises, benchmarking performance and scalability, assessing total cost of ownership and ongoing operational burden, reviewing service level agreements and support/contract terms, examining vendor roadmaps and interoperability with existing systems, and planning for migration paths and vendor lock in mitigation. Applies to any technology or service selection decision (infrastructure and network hardware, cloud platforms, data and software tooling, security products, SaaS vendors, and similar), not just one domain.
Cloud Migration and Modernization
Covers approaches and planning for moving workloads and data to the cloud and modernizing legacy systems. Candidates should be able to explain migration patterns such as lift and shift, replatforming, and refactoring; how to conduct discovery and assessment; strategies for database and data transfer including bulk migration and change data capture; application modernization options including containerization and managed platform services; cutover planning, rollback and validation techniques; tooling and automation to reduce risk; and how to evaluate cost, risk, governance, security, and return on investment for a phased modernization program.
Infrastructure Fundamentals
Foundational infrastructure and system components that underpin modern application architectures. Topics include relational and non relational database trade offs, application programming interfaces such as representational state transfer and remote procedure call frameworks, caching layers including Redis and Memcached, load balancers and their layer four and layer seven behaviors, message queues and asynchronous processing patterns, and containerization and orchestration technologies such as Docker and Kubernetes. Candidates should understand each component's purpose, how components interact in an end to end data flow, common failure modes and mitigation strategies, and operational concerns including deployment and rollback strategies, health checks, monitoring, logging, metrics and alerting. Important technical trade offs to reason about include latency and throughput implications, scalability patterns, consistency and durability properties, delivery semantics and idempotency, backpressure and retry strategies, dead letter queues, caching patterns and invalidation, and capacity planning and cost considerations. Interview questions typically probe component selection for given requirements, design choices to improve reliability and maintainability, and how these components fit together in real architectures.
Azure and Google Cloud Platforms
Knowledge of core cloud platform concepts and the managed services offered by Microsoft Azure and Google Cloud Platform. Candidates should understand compute options including virtual machines, managed container services, and serverless functions; platform as a service offerings; managed relational and non relational databases; object, block, and file storage; and messaging and eventing services. They should know networking fundamentals such as virtual private cloud or virtual networks, subnets, load balancing, peering, routing, and firewall rules, as well as identity and security topics including identity and access management, role based access control, key management, and encryption. Candidates must be able to map and compare common service equivalents across providers, for example Azure Virtual Machines to Google Compute Engine, Azure App Service to Google App Engine, Azure SQL to Cloud SQL, Azure Blob Storage to Cloud Storage, Azure Service Bus to Cloud Pub Sub, Azure Cosmos DB to Cloud Firestore or Bigtable, and Azure Kubernetes Service to Google Kubernetes Engine. The description also covers operational considerations such as region and zone architecture, high availability and fault tolerance, autoscaling, monitoring and logging, cost and billing differences, service limits and quotas, infrastructure as code and deployment tooling, and multi cloud trade offs including latency, data egress costs, compliance, and vendor lock in. Interview questions typically ask candidates to translate architectures and patterns between platforms, justify service choices, and explain migration or interoperability strategies.
Networking Fundamentals
Foundational knowledge of how networks operate and how to reason about network behavior. Core concepts include the TCP IP model and common protocols such as IP, TCP, UDP, DNS, and DHCP; subnetting and address allocation; routing and switching fundamentals; VLANs and layer two segmentation; NAT and private addressing; firewall and access control behavior; VPNs and tunneling; ports and application layer protocols. Candidates should also be able to apply these fundamentals to troubleshoot connectivity and performance issues at a conceptual level, explain the TCP three way handshake, congestion and retransmission causes, and reason about where problems occur in the stack.
Software Defined Networking Concepts
Explain the principles of software defined networking and the operational and architectural implications of separating control functions from forwarding functions. Topics include centralized and distributed controller models, network virtualization and overlay networks such as virtual extensible local area network, programmability and northbound and southbound interfaces, network function virtualization, orchestration and automation, and the security and reliability trade offs introduced by moving intelligence into software layers. Interviewers assess when software defined networking improves agility and scale and where traditional hardware approaches are preferable.
Kubernetes Architecture and Core Components
Fundamental architecture of Kubernetes and its core components: control plane design including API server, etcd distributed state store, scheduler, controller manager, and cloud controller manager; worker node components including kubelet, kube proxy, and the container runtime; core objects and abstractions such as pods, services, deployments, stateful sets, daemon sets, jobs, config maps, and secrets; cluster state management, service discovery, health checks, and self healing. Candidates should understand how components interact, data flow, failure modes, and how to design for availability and scalability at the component level.
Cloud Architecture and Design Patterns
Designing and evaluating cloud native architectures and common architecture patterns, with attention to service capabilities, limits, and operational and security implications. Topics include compute scaling models for virtual instances, managed compute, serverless functions and container orchestration; storage choice, object storage classes, lifecycle policies and caching strategies; managed relational database architectures with high availability patterns such as multiple availability zone deployments and read replicas; trade offs of serverless approaches including cold start and invocation limits; different load balancing approaches for application level and network level traffic; networking and identity boundary design including virtual networks, subnetting, routing, security groups and access control patterns; backup, recovery and disaster recovery planning; deployment patterns such as blue green and canary releases; scalability strategies, performance and latency considerations; vendor lock in, portability and total cost of ownership trade offs; and operational practices for monitoring, limits management and incident response. Candidates should be able to translate requirements into architecture decisions, justify trade offs, and design for resilience, scalability, performance, security and cost.
Network Engineer Role Responsibilities
Explain the typical scope and responsibilities of a network engineer role including infrastructure design and deployment, equipment and configuration management, daily operations and monitoring, incident response and post incident learning, security and access control enforcement, and capacity planning. Candidates should also discuss collaboration with other engineering and product teams, documentation and standards, and where automation and tooling fit into the role. This topic evaluates whether the candidate understands role expectations and can align their experience to the position.
Network Architecture and Design
Comprehensive principles and practical patterns for designing reliable, scalable, and secure networks across enterprise, data center, and wide area environments. Covers topology choices such as spine and leaf, hub and spoke, star, mesh, ring, and hybrid topologies, and how those choices affect resilience, latency, and scalability. Includes hierarchical design patterns for access distribution and core layers, device roles such as switches, routers, and load balancers, and cloud and data center specific patterns. Details redundancy and high availability strategies including active active and active passive failover, redundancy sizing such as N plus one, failure modes, convergence behavior, and operational implications for service level agreements. Addresses capacity planning, performance trade offs, quality of service and traffic engineering, routing and switching fundamentals and routing protocol behavior, segmentation for performance and security including virtual local area networks and subnets, and placement of security controls. Emphasizes trade offs between bandwidth, latency, cost, complexity, manageability, and operational burden, and how to select topology and design patterns for different application, performance, and operational requirements.
Cloud Service and Deployment Models
Comprehensive coverage of the primary cloud service and deployment choices and the decision criteria behind them. Explain Infrastructure as a Service, Platform as a Service, and Software as a Service, including responsibility boundaries, operational implications for security, patching, and management. Explain public cloud, private cloud, and hybrid cloud deployment types and the trade offs in control, isolation, scalability, cost, and compliance. Describe decision factors and example scenarios for selecting a service model or deployment type based on application characteristics such as multi tenancy, latency requirements, data sensitivity, regulatory constraints, integration with on premise systems, and team skills. Discuss vendor lock in, portability and migration implications, and how these choices affect cost, operational burden, resilience, and monitoring.
Linux System Administration
Linux specific system administration and deep operating system topics. Areas include Linux kernel concepts, process lifecycle and signals, memory management and swap behavior in Linux, Linux file systems and permission models, boot processes and init systems such as systemd, package management and software installation, service management and system daemons, shell and scripting for automation and debugging, performance tuning and profiling, log management and diagnostic techniques, security and access control on Linux, and approaches to investigating and resolving systemic failures in Linux environments. At senior levels candidates should demonstrate both operational competence and an understanding of internal mechanisms and trade offs.
Active Directory Architecture and Management
Comprehensive coverage of Microsoft Active Directory and directory services design, deployment, operation, and troubleshooting. Topics include the logical and physical structure of Active Directory such as forests, trees, domains, organizational units, naming contexts, domain controllers, global catalog servers, and site topology. Candidates should understand directory data models and object types and attributes, including user accounts, computer accounts, security groups and distribution groups, group scopes and nesting, membership management, and access control lists and permission models on directory objects. Expect questions on authentication and authorization flows including Kerberos based authentication, Lightweight Directory Access Protocol binds and queries, domain joining, trust relationships between domains and forests, and the impact of domain controller roles including flexible single master operation roles and read only domain controllers. Coverage also includes replication topology and behavior, site awareness and site link design, replication scheduling and conflict resolution, and techniques for troubleshooting replication and connectivity issues. Candidates should be able to explain group policy concepts for centralized configuration and security enforcement, delegation and administrative models, common management consoles and automation and scripting for administration, backup and recovery considerations, and how to design Active Directory deployments for scale, resilience, and integration with broader identity and access management and single sign on solutions.
Observability and Monitoring Architecture
Designing and architecting end to end observability and monitoring systems that scale, remain reliable under load, and do not become single points of failure. Topics include deciding which telemetry to collect and why including metrics logs traces and events, instrumentation strategies, collection models such as push versus pull, high throughput telemetry ingestion and pipeline design, time series storage and compression, aggregation and partitioning strategies, metric cardinality and retention tradeoffs, distributed tracing propagation and sampling strategies, log aggregation and secure storage, selection of storage backends and time series databases, storage tiering and cost optimization, query and dashboard performance considerations, access control and multi tenancy, integration with deployment pipelines and tooling, and design patterns for self healing telemetry pipelines. Senior level assessments include designing scalable ingestion and aggregation architectures, storage tiering and query performance optimization, cost and operational tradeoffs, and organizational impacts of observability data.