Senior interview question
Walk me through handling an AI incident.
Model answer
Detect; mitigate first (roll back, flag off, fall back); then diagnose with breakdowns and traces; fix and add the failures to the test set; write a blameless postmortem covering impact, timeline, causes and follow-ups, asking why the system allowed it, not who erred.
Practise the rest
6 Observability questions, 492 in all, each with a model answer. Free.
More Observability interview questions
- What are MTTD, MTTR and change failure rate?
- How do you design production metrics for an AI feature?
- Quality dropped after a canary rollout. How do you find what broke?
- What implicit feedback signals would you track in a chat product?
- Metrics are stable, yet you suspect drift. What drifts in an AI system?