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Incident Response and Runbook Design Questions

Covers the design and operation of incident response programs and the creation and maintenance of actionable runbooks and playbooks for production systems. Candidates should be able to explain the incident lifecycle from detection and classification through investigation, escalation, remediation, and post incident analysis. Topics include severity definitions and assessment, escalation procedures, team roles and responsibilities, communication protocols during incidents, on call rotations, alert triage, and coordination across teams during outages. Also includes designing automated remediation steps where appropriate, integrating runbooks with monitoring and alerting systems, maintaining playbooks for common failure modes such as malware, data exfiltration, denial of service, and account compromise, and conducting blameless post incident reviews and continuous improvement. Candidates should be able to discuss metrics for measuring response effectiveness such as mean time to detect, mean time to repair, and response success rate, and describe approaches to improve those metrics over time.

HardTechnical
79 practiced
Design an audit and compliance playbook for incidents that involve regulated data (e.g., PCI, GDPR). The plan should include evidence retention, notification timelines, roles for compliance and legal, documentation standards, and how to demonstrate remediation to auditors.
EasyTechnical
62 practiced
List the essential sections that should exist in a production runbook for a service and provide a short example entry for each section. Sections should include purpose, prerequisites, detection triggers, step-by-step remediation, verification steps, rollback, and post-incident notes. Keep entries concise but actionable.
HardTechnical
72 practiced
Compare storing runbooks in plain wiki pages, storing runbook-as-code in git, and using a dedicated runbook platform (runbook-as-a-service). For an enterprise with strict audit needs and hundreds of teams, recommend one option and justify trade-offs including discoverability, versioning, access controls, and integration with incident tooling.
EasyTechnical
58 practiced
Explain the difference between mean time to detect (MTTD), mean time to repair (MTTR), mean time to acknowledge (MTTA), and their relationship to SLOs and business impact. For each metric describe how you would calculate it using incident timestamps and one practical caveat when interpreting each metric.
MediumTechnical
66 practiced
Describe the design considerations and safety mechanisms you would add before enabling automated remediation for a remediation that restarts a backend service cluster. Cover idempotency, rate limiting, circuit breakers, human-approval gates, observability, and rollback strategies.

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