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System Architecture Principles Questions

Core principles and patterns for designing and evaluating high level and system architectures for distributed and cloud based systems. Candidates should understand high availability and redundancy, fault tolerance and graceful degradation, and how to design stateless and stateful components. They should be able to explain scalability and capacity planning strategies including horizontal and vertical scaling, partitioning and sharding, load balancing, caching and replication, and the trade offs involved. The topic covers consistency models and the trade offs between consistency, availability and partition tolerance, performance and latency optimization, reliability and durability, security for data and access control, and cost efficiency. Candidates should be able to discuss fault domains and why critical components are replicated across availability zones and regions, as well as backup, recovery and disaster recovery approaches. Common architectural patterns such as monolithic and microservice architectures, layered design, event driven and message based systems, and command query responsibility segregation are relevant. Monitoring and observability practices including metrics, logging, distributed tracing and alerting are part of assessments, together with the ability to justify architecture decisions based on functional and nonfunctional requirements, constraints, expected load and operational complexity.

EasyTechnical
24 practiced
Describe the roles of load balancers in a microservices architecture. Explain differences between layer 4 and layer 7 load balancing, discuss trade-offs of sticky sessions versus stateless session handling, and include how health checks and autoscaling integrate with load balancing and routing decisions.
MediumTechnical
30 practiced
Describe the circuit breaker pattern in microservices. Provide a simple class-level design or pseudo-code for a circuit-breaker component and list the metrics/conditions (error rate, consecutive failures, latency thresholds) that should cause it to open or close. Explain half-open behavior and probing strategies.
MediumTechnical
32 practiced
Implement a token-bucket rate limiter in Java for per-user API throttling. The limiter should support configurable refill rate, burst capacity, and be thread-safe for concurrent requests in the same process. Provide class design and key methods with brief comments explaining concurrency choices.
MediumTechnical
31 practiced
Design a caching strategy for e-commerce product detail pages to reduce database load while ensuring price updates are reflected within five minutes. Consider TTL policies, event-driven invalidation, cache warming, stale-while-revalidate, and handling cache stampedes for popular SKUs.
MediumSystem Design
22 practiced
Design the shopping cart service for a high-scale e-commerce site. Requirements: carts persist across sessions, handle millions of users, support concurrent updates (add/remove items), and checkout must observe inventory atomically. Discuss state management choices (in-memory, external cache, durable DB), locking strategies (optimistic vs pessimistic), and scaling approach.

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