Maintaining a regression set | AWS Certified AI Practitioner (AIF-C01) original practice question

3.4Standard

Update a model or prompt.

Avoid repeating known severe failures.

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

CorrectVersion representative, boundary, historical-failure, and new-risk cases

Changes remain comparable.

CorrectStore results, thresholds, difference review, and adoption decisions

Regression and decisions are traceable.

IncorrectReplace all cases on every update

Comparability disappears.

IncorrectIgnore individual severe failures when the average is stable

High-impact regressions can hide.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 3.4の回帰評価、モデル更新、品質管理を確認する。

モデル・プロンプト変更で既知の失敗が再発していないか継続評価できる。

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-359

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