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Incident Investigation, Root Cause Analysis, and Postmortems Questions

Covers the discipline of investigating and learning from production and technical incidents: forming and testing hypotheses, gathering and validating evidence, applying short-term mitigations versus long-term fixes, coordinating across teams during the incident, and running the postmortem or root cause analysis afterward. Candidates should describe the troubleshooting or investigative approach used, obstacles encountered, how mitigation and long-term remediation were sequenced, and the concrete process or system changes that resulted. Applies to incidents in software systems, ML/AI models and pipelines, infrastructure, and security findings.

MediumTechnical
44 practiced
A configuration change caused an outage last week. Detail the set of version control, CI/CD, deployment, and feature flag policies and guardrails you would implement to reduce the risk of similar configuration-related outages. Be concrete: describe checks, gating rules, approval workflows, and rollback automation.
EasyBehavioral
24 practiced
Explain the concept and value of a blameless postmortem for enterprise incident response. Describe the key components you would include (timeline, impact, root cause, corrective actions, owners, follow-ups), how to run a postmortem review meeting, and three practical techniques you would use to drive adoption and psychological safety across engineering, operations, and sales stakeholders.
EasyTechnical
33 practiced
Define what constitutes a major incident in a large enterprise environment and describe a practical severity classification scheme you would use. Include the business and technical indicators you would monitor (examples: customer-visible errors per minute, payment failures per hour, API latency percentiles, infrastructure resource thresholds). Explain how thresholds map to severity levels and who is notified at each level.
MediumTechnical
25 practiced
Write a compact Python script or clear pseudocode that streams through a very large syslog file to extract unique error signatures (normalized message patterns) and count occurrences per hour. State assumptions about memory, input format, timestamp parsing, and how you would modify this approach when facing terabytes of logs in production.
EasyBehavioral
31 practiced
List the key sections of a high-quality incident postmortem document and briefly describe the purpose of each section (for example timeline, impact, root cause, corrective actions, owners, verification). Explain how you would enforce that corrective actions from postmortems are tracked to completion and verified.

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