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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.

EasyTechnical
0 practiced
Compare exception-based error handling and error-value/Result-pattern handling in backend services (e.g., exceptions in Java/Python vs Result objects in Rust/Go-style errors). Discuss readability, propagation, performance, and how libraries exposed by SRE teams should surface errors for operational debugging.
HardSystem Design
0 practiced
Architect an approach that combines circuit breakers with bulkhead isolation for microservices. Describe where to place bulkheads (thread pools, connection pools), how to configure per-client or per-route limits, emergency fallback behavior, metrics to monitor, and how to prevent healthy requests from starving during partial failures.
EasyTechnical
0 practiced
Explain idempotency in distributed systems. Provide three techniques to achieve idempotent operations (idempotency keys with stored responses, unique constraints/de-duplication at the database level, and write-once semantics) and discuss the trade-offs (storage cost, expiration, concurrency).
MediumTechnical
0 practiced
Explain the circuit breaker pattern and implement a simple in-process Python CircuitBreaker class that opens after N failures in a sliding window, stays open for a cooldown TTL, then transitions to half-open to allow a limited number of test requests. Show how it would be used to protect a downstream HTTP call.
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.

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