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Edge Case Identification and Testing Questions

Focuses on systematically finding, reasoning about, and testing edge and corner cases to ensure the correctness and robustness of algorithms and code. Candidates should demonstrate how they clarify ambiguous requirements, enumerate problematic inputs such as empty or null values, single element and duplicate scenarios, negative and out of range values, off by one and boundary conditions, integer overflow and underflow, and very large inputs and scaling limits. Emphasize test driven thinking by mentally testing examples while coding, writing two to three concrete test cases before or after implementation, and creating unit and integration tests that exercise boundary conditions. Cover advanced test approaches when relevant such as property based testing and fuzz testing, techniques for reproducing and debugging edge case failures, and how optimizations or algorithmic changes preserve correctness. Interviewers look for a structured method to enumerate cases, prioritize based on likelihood and severity, and clearly communicate assumptions and test coverage.

MediumTechnical
77 practiced
Discuss edge cases when using floating-point types for money in backend systems. Propose storage and computation strategies (integer cents, Decimal/BigDecimal), and list tests that verify correct rounding, accumulation across many transactions, and cross-service serialization/deserialization where languages differ (e.g., Python Decimal to Java BigDecimal).
HardSystem Design
72 practiced
Design tests and acceptance criteria to ensure strict tenant data isolation in a multi-tenant SaaS backend using a shared database. Include tests for tenant-scoped queries, role-based access checks, accidental cross-tenant joins, data export redaction, and privacy compliance (e.g., GDPR). Provide examples of negative tests that prove data cannot leak between tenants.
EasyTechnical
69 practiced
Explain common timezone and timestamp handling edge cases that backend engineers must consider: naive vs aware datetimes, storing in UTC, DST transitions, leap seconds, and client-local display. Provide two unit/integration tests that would detect bugs around DST boundaries or timezone conversions.
EasyTechnical
92 practiced
Describe common input-based security edge cases backend engineers must test: SQL injection attempts, command injection, path traversal, header injection, and unsafe deserialization. For each category, name a unit or fuzzing test you would add to detect regressions.
HardSystem Design
128 practiced
Design a chaos engineering experiment that validates system resilience when a subset of microservices becomes unreachable and network latency increases. Define the steady-state hypothesis, the exact failure injection (partition, increased latency, packet loss), the safety / blast-radius controls, the metrics to observe (error rate, latency, SLOs), and the post-mortem tests to assert graceful degradation and data consistency after recovery.

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