Cloud Platform Evaluation Questions

Frameworks and processes for evaluating cloud platforms and third party cloud vendors to meet enterprise requirements. Topics include defining evaluation criteria such as functional capabilities, performance, scalability, reliability, pricing and total cost of ownership, security and compliance certifications, data residency and sovereignty, vendor lock in and exit strategies, interoperability and integration with existing systems, ecosystem maturity and partner networks, service level agreements and support models, and geographic availability. Candidates should be able to compare single cloud versus multi cloud and hybrid strategies, perform vendor shortlisting and proof of concept planning, articulate trade offs, and recommend procurement and migration approaches that align with business goals, risk tolerance, and operational capabilities.

MediumTechnical

105 practiced

Design an exit strategy and data egress plan for a scenario where a critical database must be moved from Provider X to Provider Y within 60 days. Include data extraction, transformation, transfer methods (online vs offline), encryption/key handling, and steps to validate completeness and integrity of transferred data.

Sample Answer

**Clarify scope & constraints**- Identify DB type (RDBMS, NoSQL), size, change rate (CDC required?), SLAs, compliance (PCI/GDPR), and downtime window. Confirm 60-day timeline and cutover freeze.

**High-level strategy**- Use hybrid of online (continuous replication) + offline bulk snapshot for initial load to meet time and bandwidth constraints, then cutover after validation.

**Data extraction & transformation**- Initial bulk: export logical (dump) or physical snapshots depending on DB. For large RDBMS, use consistent snapshots (transactional consistent backup). Run schema and config export.- Transform: normalize data types to Provider Y’s formats, map identifiers, anonymize PII if required. Automate with ETL tool (Airflow + dbt or AWS Glue).

**Transfer methods**- Online: set up CDC with Debezium/GoldenGate/Native replication to stream deltas to Provider Y (Kafka, cloud-native replication).- Offline: transfer encrypted backup files via secure network (SCP over VPN/Direct Connect) or physical transfer (encrypted disk courier) if network infeasible.

**Encryption & key handling**- Encrypt data-at-rest with provider-managed KMS during backup and in transit with TLS 1.2+. Use customer-managed keys (CMKs) in both providers, rotate keys pre-migration, and establish key-wrapping policy. Exchange public keys via secure channel; never transmit private keys.

**Validation & integrity**- Verify checksums (SHA-256) for each file pre/post transfer.- Row counts, table-level checksums (e.g., CHECKSUM TABLE or hashed digests), and sampling queries.- Reconcile business-critical KPIs and run application-level integration tests.- Use automated playbook: run queries in parallel, compare diffs; promote replica to read-only to validate CDC replay; run final cutover during low traffic.

**Cutover & rollback**- Freeze writes or operate in maintenance window; apply remaining CDC, switch DNS/load balancer, monitor metrics.- Keep rollback plan: keep source writable snapshot and ability to re-point traffic back within defined RTO.

**Tools & timeline**- Week 1: prep, network, keys. Week 2–4: initial bulk + transfer. Week 3–6: CDC setup and sync. Week 7–8: validation, cutover.- Example tools: Debezium, GoldenGate, pg_dump/pg_basebackup, rsync over VPN, Vault/KMS, dbt/Airflow.

This plan balances speed, integrity, and security while enabling a controlled 60-day migration.

EasyTechnical

70 practiced

Draft a compact proof-of-concept (POC) plan template to evaluate a cloud provider for a core web application. The template should include objectives, scope, timelines, environment setup, success criteria, test cases (performance, failover, security), and deliverables for stakeholder review.

EasyTechnical

75 practiced

List and justify the top 8 evaluation criteria you would use when selecting a cloud platform for a large enterprise. For each criterion: (1) define it precisely, (2) explain why it matters at enterprise scale, and (3) propose one or two measurable metrics or tests you would use to evaluate vendors against that criterion.

Sample Answer

**Top 8 Evaluation Criteria for Enterprise Cloud Selection**

1) Security & Compliance - Definition: Controls, encryption, identity, auditability, and certifications (SOC2, ISO27001, FedRAMP). - Why: Enterprises face regulatory risk and large blast radius; security posture drives trust and liability. - Metrics/Tests: Certification list; result of external penetration test; time-to-detect (MTTD) and time-to-remediate (MTTR) for vulnerabilities.

2) Reliability & SLA / Availability - Definition: Platform uptime guarantees, fault domains, and disaster recovery capabilities. - Why: Critical workloads require predictable availability and recovery at scale. - Metrics/Tests: Published SLA (%) and historical outage reports; run chaos tests simulating zone failure and measure RTO/RPO.

3) Performance & Network Latency - Definition: Compute/network throughput, IO performance, inter-region latency. - Why: Large distributed systems and data pipelines need predictable performance. - Metrics/Tests: Benchmarks for p95 latency, throughput (MB/s), and network RTT between regions under load.

4) Cost & Pricing Model - Definition: Total cost of ownership including compute, storage, egress, licensing and support. - Why: Scale amplifies small per-unit differences; predictability matters for budgeting. - Metrics/Tests: TCO modeling for 3-year projected workloads; variance under autoscaling and egress scenarios.

5) Feature Richness & Service Ecosystem - Definition: Breadth/depth of managed services (DB, analytics, K8s, ML, identity). - Why: Accelerates delivery, reduces ops burden and vendor lock-in trade-offs. - Metrics/Tests: Coverage matrix for required services; evaluate time-to-prototype for a representative workload.

6) Scalability & Elasticity - Definition: Ability to scale horizontally/vertically, quotas, and automation limits. - Why: Enterprise demand spikes and global growth require elastic capacity. - Metrics/Tests: Scale-out stress tests (nodes/sec), quota increase lead times, autoscaling stability under sudden load.

7) Operational Tooling & Observability - Definition: Native monitoring, logging, tracing, deployment pipelines, and APIs. - Why: Effective ops at scale depends on observability and automation. - Metrics/Tests: Integration count with SIEM/CI-CD; evaluate mean time to detect incidents using provided tooling.

8) Support, SLAs & Partner Ecosystem - Definition: Enterprise support tiers, account management, professional services, and partner network. - Why: Complex migrations and long-term operations rely on vendor responsiveness and ecosystem expertise. - Metrics/Tests: Support response/resolution times in contract; reference checks for similar migrations and professional services capacity.

For each criterion, weight against business priorities and validate with PoC tests reflecting real-production patterns.

HardTechnical

53 practiced

You need to evaluate a managed database offering's operational maturity. Propose a checklist of at least 12 vendor capabilities you would validate (backup/restore, point-in-time recovery, failover time, restore SLA, encryption at rest/in transit, transparency of maintenance, etc.), and describe how to empirically validate three of those during a POC.

Sample Answer

**Checklist — 16 vendor capabilities to validate**

- Backup frequency options (full/incremental/differential) - Point-in-time recovery (PITR) window and granularity - Restore SLA and RTO/RPO guarantees - Recovery testing automation (non-prod restores) - Failover behavior: RTO, RPO, and automatic vs. manual failover - Multi-AZ / multi-region replication and consistency model - Transparency of maintenance (notice, maintenance windows, impact) - Encryption at rest and in transit (algorithms, KMS integration) - Key management and customer-owned keys (BYOK/HSM) - Audit logging and immutable retention (tamper-evident) - Monitoring/observability: metrics, alerts, and runbooks - Operational runbooks and escalation procedures + SRE playbooks - Capacity planning and scaling (vertical/horizontal, online resharding) - Patch management policy and CVE response SLAs - Performance isolation and noisy-neighbor controls - Data locality, compliance certifications, and data exportability

**Empirical validation during POC — three examples**

1) PITR and Restore SLA - Action: Insert identifiable data, take frequent writes for 48 hours, then request a PITR restore to a timestamp between writes. - Metrics: verify restored DB state matches target timestamp; measure restore time vs SLA; validate RPO by checking for data gaps. - Acceptance: successful restore accuracy within SLA and documented steps reproducible.

2) Failover time and behavior - Action: Induce controlled primary node failure (shutdown or network partition) during steady load in POC environment. - Metrics: time from fault to client connectivity on new primary (RTO), data loss measured (RPO), transaction error rates, connection retry behavior. - Acceptance: automatic failover completes within target RTO, no data inconsistency, client reconnects acceptably.

3) Encryption and KMS integration (BYOK) - Action: Configure customer-managed key in vendor KMS/HSM, write data, rotate key, and attempt key deletion path. - Metrics: confirm data remains decryptable after rotation, verify vendor cannot access plaintext using logs/attestation, and measure re-encryption time. - Acceptance: BYOK works end-to-end, rotations safe, vendor provides required audit evidence.

These checks combine architectural expectations with practical experiments to validate operational maturity for production-grade DBaaS.

HardTechnical

101 practiced

Design an enterprise cloud evaluation strategy for a global regulated financial services firm with 50,000 users across 30 countries. Define detailed functional and non-functional requirements, vendor shortlisting process, POC plan, procurement considerations, SLA negotiation priorities, data residency strategy, exit and rollback plans, and governance model for vendor relationships.

Sample Answer

**Situation & Goal**I propose an enterprise cloud evaluation strategy to select and govern a cloud provider for a global regulated financial services firm (50k users, 30 countries) that minimizes regulatory risk, ensures high availability, and enables secure innovation.

**Functional requirements**- Multi-region IaaS/PaaS with enterprise networking (VPC peering, Transit Gateway)- IAM with SSO, SCIM, roles, fine-grained RBAC- Managed DBs, KMS-integrated encryption, HSM support- Data lifecycle controls, backup/DR, snapshot automation- Native logging/monitoring, SIEM integration, distributed tracing- Support for container orchestration, serverless, and hybrid connectivity (VPN/Direct Connect)

**Non-functional requirements**- Compliance coverage (GDPR, PCI-DSS, SOC2, local country regs)- RTO/RPO targets: global apps RTO ≤15 mins, RPO ≤5 mins; regional services RTO ≤1 hr- 99.99% platform SLA for core services; latency SLAs by region- Scalability: auto-scale to +3x peak; predictable cost governance- Security: Fed-grade network segmentation, audit trail, mandatory MFA, key separation

**Vendor shortlisting**- Create weighted scorecard (security 30%, compliance 25%, resiliency 15%, operations 10%, cost 10%, roadmap 10%)- Shortlist top 3 (global hyperscalers + 1 compliant regional) via RFI, reference checks (3 similar banks), financial stability, and local presence

**POC plan**- 8-week POC per vendor: - Week 1–2: architecture provisioning, networking, identity integration - Week 3–4: data residency test, encryption & KMS, HSM integration - Week 5: workload migration of a non-critical core service (DB + app) and DR failover - Week 6: security controls validation (pen test, logging/alerting) - Week 7: performance/load testing across regions - Week 8: runbook/ops automation and TCO report- Acceptance criteria tied to scorecard and RTO/RPO tests

**Procurement & SLA negotiation priorities**- Negotiate cloud credits, committed usage discounts, and cost visibility tools- Insist on financial penalties for SLA breaches, data egress clarity, and priority support- Tangible commitments on security patching windows, vulnerability disclosure, and audit access- Define change management windows and notification SLAs

**Data residency & sovereignty**- Map data classification by country; ensure controlled data placement in approved regions- Use customer-managed keys/HSM in-country where required- Hybrid model: sensitive/custodial data on private cloud or dedicated tenancy; less-sensitive in public regions with contractual controls

**Exit & rollback**- Define exportable data formats, monthly test restores to alternate environment- Run periodic export/restore drills; contractual notice periods, data sanitize/verification post-termination- Maintain a minimal hot-warm fallback in secondary provider (multi-cloud readiness) and IaC-based provisioning for rapid redeploy

**Governance & vendor relationship**- Establish Cloud Governance Board (CISO, CTO, Legal, Compliance, Business leads) with quarterly reviews- Vendor SLAs, security baselines, architectural guardrails enforced via CI/CD policy checks and landing zones- Monthly operational reviews, quarterly roadmap alignment, annual third-party audits- KPI dashboard: availability, cost, compliance incidents, time-to-provision, security findings

I would lead cross-functional workshops to validate priorities, run the POC, and present a ranked recommendation with implementation roadmap and contract negotiation checklist.

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