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Edge Case Handling and Debugging Questions

Covers the systematic identification, analysis, and mitigation of edge cases and failures across code and user flows. Topics include methodically enumerating boundary conditions and unusual inputs such as empty inputs, single elements, large inputs, duplicates, negative numbers, integer overflow, circular structures, and null values; writing defensive code with input validation, null checks, and guard clauses; designing and handling error states including network timeouts, permission denials, and form validation failures; creating clear actionable error messages and informative empty states for users; methodical debugging techniques to trace logic errors, reproduce failing cases, and fix root causes; and testing strategies to validate robustness before submission. Also includes communicating edge case reasoning to interviewers and demonstrating a structured troubleshooting process.

MediumTechnical
0 practiced
Create a checklist for writing clear, actionable error messages and empty states for an HTTP API and web UI. Include example messages for permission denied, rate-limited, validation failure, and internal server error. Also cover localization, telemetry of user-facing errors, and what NOT to expose to users for security.
HardTechnical
0 practiced
Your Kubernetes cluster reports ImagePullBackOff errors only after node reboots. Design an investigation plan considering node-level image caches, registry rate limits, kubelet restart ordering, taints/tolerations, and imagePullPolicy. Describe fixes and a way to simulate node reboots to validate the solution.
HardTechnical
0 practiced
Design a distributed rate limiter that supports bursts, persists counters safely across process restarts, and avoids integer overflow for clients that may perform up to 1M requests/day. Explain your algorithm, data layout, how to handle wraparound, clock skew across nodes, and tests to validate counter edge cases.
HardTechnical
0 practiced
Draft a post-incident review template specialized for edge-case failures. Specify required sections and artifacts (timeline, reproduction steps, escaped tests, monitoring gaps, configuration diffs, communication timeline), and explain how you'd ensure action items are owned, prioritized, and validated over time.
MediumTechnical
0 practiced
Implement in Go a function that accepts a slice of IPv4 CIDR blocks (strings) and validates/normalizes them. The function should reject overlapping subnets and invalid CIDRs. Include unit-test ideas that cover edge cases: /32, /0, invalid masks, duplicates, and IPv6 inputs. Aim for an algorithm with O(n log n) complexity.

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