Reliability High Availability and Tradeoffs Questions

Design patterns and decision making for ensuring availability correctness and graceful behavior under failure while balancing technical trade offs. Topics include redundancy and failover strategies active passive and active active deployments; fault isolation using bulkheads and circuit breaker patterns; graceful degradation and feature gating strategies; defining and mapping service level objectives and service level agreements to recovery point and recovery time objectives; multi region and multi availability zone deployment considerations; testing for reliability including chaos engineering and fault injection; and reasoning about consistency versus availability trade offs and the operational cost of stronger guarantees. Candidates should be able to choose reliability patterns to meet business objectives and to explain their implications for cost performance and maintainability.

EasyTechnical

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Explain what idempotency means for ingestion APIs and downstream consumers. Provide two practical techniques to achieve idempotency (one producer-side, one consumer-side) and sketch a simple idempotency key schema that scales across partitions and retries without causing large state growth.

MediumTechnical

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Your ingestion endpoint receives sudden bursts that exceed consumer capacity, causing downstream lag. Describe backpressure strategies at API, queue, and consumer layers: rate-limiting, queue sizing, push vs pull semantics, batching, slow-consumer detection, and multi-tenant fairness. Explain how each strategy affects latency and availability.

HardTechnical

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Design checkpointing, incremental snapshots, and rollback mechanisms for a stateful stream-processing job that maintains ~200GB of state, with an RPO of 15 minutes and RTO of 30 minutes. Discuss where to store snapshots, incremental checkpointing strategies to reduce upload size, parallel restore techniques, and trade-offs between checkpoint frequency and performance.

MediumTechnical

0 practiced

Your analytics platform has users in US and APAC. Compare using read-replicas in each region with a single primary versus an active-active multi-master approach. Discuss latency, conflict resolution complexity, eventual consistency implications, and operational burden. Recommend which you'd choose for a primarily read-heavy analytics workload and why.

EasyTechnical

0 practiced

Explain eventual consistency and strong consistency in distributed systems. For a global, read-heavy analytics service, when would you favor eventual consistency, and what client-side strategies (e.g., read-repair, monotonic reads, versioning) can mitigate anomalies users might see?

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