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Systematic Troubleshooting and Debugging Questions

Covers structured methods for diagnosing and resolving software defects and technical problems at the code and system level. Candidates should demonstrate methodical debugging practices such as reading and reasoning about code, tracing execution paths, reproducing issues, collecting and interpreting logs metrics and error messages, forming and testing hypotheses, and iterating toward root cause. Topic includes use of diagnostic tools and commands, isolation strategies, instrumentation and logging best practices, regression testing and validation, trade offs between quick fixes and long term robust solutions, rollback and safe testing approaches, and clear documentation of investigative steps and outcomes.

MediumTechnical
31 practiced
Your product team asks to release a new feature tomorrow, but the service is nearing its error budget. Describe the decision process to choose between (A) quickly patching a small bug to reduce errors, (B) delaying the release to implement a full fix, or (C) proceed with release and mitigate via feature flags. Explain stakeholders you'd consult and trade-offs considered.
EasyTechnical
36 practiced
What is a stack trace and how do you use it to identify the location of a crash in a compiled language (e.g., C/C++ or Go)? Describe the additional steps you would take if stack frames show memory addresses but no function names.
MediumTechnical
30 practiced
Describe a reasonable regression testing and canary deployment plan you would run before rolling a fix to production for a bug that caused intermittent data loss. Include test types, canary traffic percentage, monitoring checks, and criteria for promoting to full rollout.
EasyBehavioral
28 practiced
When filing a bug for SRE triage, what information should your report include so an engineer can start debugging without follow-up? Provide a template with required fields and a short example for a hypothetical "intermittent 502 from /api/checkout" issue.
MediumTechnical
32 practiced
Explain how you generate a CPU flame graph for a production service (select one language/runtime you know: Node, Python, or Go). Include exact tooling/commands, sampling strategy, the steps to produce the flamegraph SVG, and how you interpret it to find hotspots.

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