Monitoring fairness continuously | AWS Certified AI Practitioner (AIF-C01) original practice question

4.2Standard

A model's group gap grows after launch.

Find the cause.

Choose two practices.

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

CorrectCompare group metrics, distribution, thresholds, and human decisions by period

Operational change is visible.

CorrectDefine investigation, notice, stop, reassessment, and stakeholder explanation when gaps grow

Remedy is continuous.

IncorrectFairness at launch needs no later monitoring

Use and distributions change.

IncorrectHide small-group metrics in aggregates

Gaps disappear.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 4.2・3.3の公平性監視、ドリフト、緩和を確認する。

モデルと利用環境の変化で公平性が悪化する可能性を運用へ組み込める。

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-515

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