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Debugging and Recovery Under Pressure Questions

Covers systematic approaches to finding and fixing bugs during time pressured situations such as interviews, plus techniques for verifying correctness and recovering gracefully when an initial approach fails. Topics include reproducing the failure, isolating the minimal failing case, stepping through logic mentally or with print statements, and using binary search or divide and conquer to narrow the fault. Emphasize careful assumption checking, invariant validation, and common error classes such as off by one, null or boundary conditions, integer overflow, and index errors. Verification practices include creating and running representative test cases: normal inputs, edge cases, empty and single element inputs, duplicates, boundary values, large inputs, and randomized or stress tests when feasible. Time management and recovery strategies are covered: prioritize the smallest fix that restores correctness, preserve working state, revert to a simpler correct solution if necessary, communicate reasoning aloud, avoid blind or random edits, and demonstrate calm, structured troubleshooting rather than panic. The goal is to show rigorous debugging methodology, build trust in the final solution through targeted verification, and display resilience and recovery strategy under interview pressure.

HardSystem Design
0 practiced
A request fails with 502 at the gateway, but downstream services show no errors in their logs. Design an approach to diagnose this distributed failure: how you would add or leverage distributed tracing, correlation IDs, sampling, and synthetic tests to reproduce the flow; what short-term mitigations you could apply; and how you'd verify the root cause fix without causing more user impact.
HardTechnical
0 practiced
Two services have started deadlocking in production because they acquire locks in different orders. Explain detection strategies (periodic thread-dump collection, wait-for graphs), how to analyze thread dumps to identify locking cycles, and remediation options (consistent lock ordering, try-lock with backoff, timeouts). Provide a deployment plan to roll out the fix safely.
MediumTechnical
0 practiced
Explain how to debug a crash in a multi-threaded C++ application. Include how to attach gdb/lldb to a running process, capture core dumps, set breakpoints and watchpoints, obtain thread backtraces, and use sanitizers (ThreadSanitizer, AddressSanitizer) or Helgrind. Provide concrete commands or a short checklist you would follow.
MediumTechnical
0 practiced
Design a fuzz-testing harness for a JSON-like configuration parser. Describe how you would generate inputs (mutation vs grammar-based), safety checks you would put around parser runs (timeouts, memory limits), how to log failures, and how you would automatically reduce failing inputs to a minimal repro for developers.
MediumTechnical
0 practiced
A long-running service gradually increases memory usage and eventually OOMs after several days. Describe the end-to-end debugging approach: what metrics and telemetry to collect, how to capture heap snapshots, how to analyze retained object graphs and GC logs, and how you would validate that a proposed fix actually stops the leak.

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