Building an anomaly baseline | AWS Certified AI Practitioner (AIF-C01) original practice question

1.1Standard

Unusual access patterns must be detected.

Separate seasonality from incidents.

Choose two designs.

Hint 1: Focus on the requirement

Identify what must change and what must remain unchanged. Then choose the command whose scope matches that requirement.

Hint 2: Check each command's role

Separate commands that display information, change state, remove data, or affect a child process.

Detailed explanation

CorrectUse normal periods, seasonality, time, and user groups as the reference

Normal variation is represented.

CorrectSample detections and measure false positives, misses, and response cost

Operational value is known.

IncorrectUse one fixed threshold for every period and user

Distribution and seasonality differ.

IncorrectDelete every anomalous record

Investigation and false-positive checks are lost.

An example you can run in a temporary verification environment.

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。

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。

Foundation review

Check whether the command acts on the current shell, a new process, an existing process, or a file.

Use the supplied command and compare the output with the expected result.

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