1.1Standard
Unusual access patterns must be detected.
Separate seasonality from incidents.
Choose two designs.
× Incorrect
Use normal periods, seasonality, time, and user groups as a baseline and measure false positives, misses, and response cost.
Detailed explanation
CorrectUse normal periods, seasonality, time, and user groups as the reference
Normal variation is represented.
IncorrectUse one fixed threshold for every period and user
Distribution and seasonality differ.
IncorrectDelete every anomalous record
Investigation and false-positive checks are lost.
CorrectSample detections and measure false positives, misses, and response cost
Operational value is known.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 1.1・3.3の異常検知、ベースライン、監視を確認する。
Official references
What to confirm
通常の変動を基準にした異常検知と、運用コストを含む評価ができる。
Key points
- Anomaly
- Seasonality
- Miss
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
Anomaly detection
Identifying observations or behavior that depart from expected patterns.
Baseline
A reference description of normal values and variation.
Question IDAWS-AIF-493
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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