01How is CI/CD for ML models different from traditional DevOps CI/CD?▼easyAmazonMicrosoftCapital One1 repliesunlockedThe standard AWS ML Engineer opener. Most candidates recite 'data and model versioning' and stall, the answer interviewers score highest explains why ML tests can't be pass/fail and what continuous training adds as a third loop.Open full answer →
13Your pipeline retrains automatically. How do you decide whether the new model replaces the old one?▼mediumAmazonUberCapital One2 replies○ sign inAuto-retrain is easy; auto-promote is where teams ship incidents. The champion/challenger gate design, two eval sets, segment floors, guardrail metrics, and the defensible line on when a human stays in the loop.Open full answer →
