3.3Standard
Input distribution changes trigger alerts.
Limit misses and noise.
Choose two practices.
× Incorrect
Set a normal baseline and combine change magnitude, duration, volume, and user impact, with response procedures and false-positive review.
Detailed explanation
CorrectDefine review, stop, retrain, and human procedures and measure delay and false positives
Alerts lead to action.
IncorrectSet no owner or procedure after an alert
Detection is not useful.
CorrectUse a normal-period baseline and combine magnitude, duration, volume, and impact
Temporary noise is separated.
IncorrectStop production for every single outlier
Temporary variation may trigger it.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 3.3のドリフト監視、アラート、再学習を確認する。
Official references
What to confirm
統計的な変化を運用上の行動へつなげる通知条件を設計できる。
Key points
- Drift alert
- Baseline
- Detection delay
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Drift threshold
A boundary for deciding when a distribution or performance change is notable.
Detection delay
The time between an issue beginning and its detection or notification.
Question IDAWS-AIF-488
EnvironmentAWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
Last technical review2026-08-20
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