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Error Handling and Defensive Programming Questions

Covers designing and implementing defensive, fault tolerant code and system behaviors to prevent and mitigate production failures. Topics include input validation and sanitization, null and missing data handling, overflow and boundary protections, exception handling and propagation patterns, clear error reporting and structured logging for observability, graceful degradation and fallback strategies, retry and backoff policies and idempotency for safe retries. Also address concurrency and synchronization concerns, resource and memory management to avoid exhaustion, security related input checks, and how to document and escalate residual risks. Candidates should discuss pragmatic trade offs between robustness and complexity, show concrete defensive checks and assertions, and describe test strategies for error paths including unit tests and integration tests and how monitoring and operational responses tie into robustness.

MediumSystem Design
0 practiced
Describe a safe graceful shutdown and draining sequence for a stateless HTTP service running in containers behind a load balancer. Include steps to stop accepting new requests, drain in-flight requests, handle background jobs, and configure Kubernetes readiness and liveness probes to support this lifecycle.
MediumSystem Design
0 practiced
Design an alerting strategy based on SLOs that reduces pager fatigue. Describe what metrics feed SLOs, how to set alert thresholds for symptom vs cause alerts, how to use error budgets to gate alerts, and examples of alerting channels per severity.
HardTechnical
0 practiced
Propose a strategy to automate defensive checks across a polyglot codebase: static analysis rules, CI gates, runtime canaries, language-specific linters, and code generation for input validation. Explain how you would measure coverage, adoption, and developer impact, and how to roll out the rules incrementally.
HardSystem Design
0 practiced
Design a dynamic retry orchestration layer for a service calling multiple downstreams with different SLAs. Requirements: avoid amplifying load onto failing dependencies, support per-dependency policies, a global throttle to bound retry amplification, idempotency support, and the ability to adapt backoff parameters based on observed error budgets and latency.
MediumTechnical
0 practiced
Implement a thread-safe token-bucket rate limiter in Java with methods boolean tryAcquire() and void refill(). The limiter should support configurable burst capacity and sustained replenishment rate. Describe concurrency primitives used and the complexity of operations.

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