Problem Solving Behaviors and Decision Making Questions
Covers the interpersonal and cognitive traits that shape how a candidate solves problems, including initiative, ownership, proactivity, resilience, creativity, continuous learning, and evaluating trade offs. Interviewers probe when a candidate takes initiative versus seeks help, how they balance speed versus quality, how they persist through setbacks, how they generate creative alternatives, and how they learn from outcomes. This topic assesses mindset, judgment, and the ability to make principled decisions under uncertainty.
MediumTechnical
0 practiced
Design a small chaos experiment for a stateful API to reduce the risk of cascading failures. Describe the hypothesis, blast-radius controls, rollback criteria, required monitoring/metrics, and how you would debrief the team and incorporate learnings into runbooks.
MediumTechnical
0 practiced
Your service's 30-day availability SLO is 99.95%. Over the past week the service has averaged 99.7%, with error budget burn accelerating. Describe how you would analyze the situation, decide whether to pause feature releases or take other actions, who you would involve, and the steps you'd take to reduce burn and communicate status to stakeholders.
MediumTechnical
0 practiced
You must plan capacity for a stateful service with predictable seasonal spikes (10x traffic during holidays) but the budget disallows provisioning 10x steady-state capacity. Describe your decision process to balance cost, latency and reliability: consider autoscaling strategies, queueing, graceful degradation, and customer segmentation.
HardTechnical
0 practiced
Design a postmortem program to rebuild executive and customer trust after repeated high-profile outages. Include cadence of reports, internal vs public content, remediation tracking, communications templates, and measurable milestones to demonstrate progress over 6–12 months.
EasyBehavioral
0 practiced
How do you keep your SRE skills up to date? Provide concrete examples (courses, books, conferences, side projects, on-call learnings) and describe a recent learning you applied to production that improved reliability, performance, or incident response.
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