Home / AWS Certified AI Practitioner (AIF-C01) / 3 Practice / AWS-AIF-380
Monitor input distribution and model quality.
Route alerts to the right owners.
Choose two practices.
Hint 1: Focus on the requirement Alert on meaningful changes against an appropriate baseline, route notifications by impact, and separate investigation from automatic retraining.
Hint 2: Key terms Review drift alerts and staged notification.
Drift alertA notification that an input, output, or performance measure has moved beyond a baseline.
Reference periodA time window used to define normal behavior for comparison.
Staged notificationRouting an alert to different owners or urgency levels according to its impact.
Retraining triggerA defined condition that starts a review or retraining workflow. × Incorrect Include model, metric, baseline, impact, and confidence in alerts; notify data, model, and business owners separately and gate retraining.
Detailed explanation A Incorrect Retrain immediately on every drift alert
Unverified changes enter production.
B Correct Include model, metric, baseline, impact, and confidence in the alert
Owners can judge cause and priority.
C Incorrect Handle alerts from memory without recording them
Recurrence and response time cannot be analyzed.
D Correct Notify data, model, and business owners by severity and separate retraining conditions
Overreaction is reduced.
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、運用対応を確認する。
Official references Official documentation 1 Official documentation 2 What to confirm ドリフト検知を原因調査と段階的な対応へつなげられる。
Key points 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 alert A notification that an input, output, or performance measure has moved beyond a baseline.
Reference period A time window used to define normal behavior for comparison.
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