Excluding expired training data | AWS Certified AI Practitioner (AIF-C01) original practice question

1.3Standard

Records reach their retention deadline.

Prevent them entering training.

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

CorrectApply collection, retention, legal hold, and consent conditions to dataset versions and jobs

Expired records are excluded.

CorrectVerify exclusion, deletion, index update, model impact, and audit results

Derivative use is checked.

IncorrectData in a trained model is never subject to retention considerations

Impact still needs assessment.

IncorrectContinue reusing expired datasets

Purpose is exceeded.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 1.3・5.1のデータライフサイクル、保持、モデル影響を確認する。

データ期限を原本だけでなく索引・学習・モデル影響まで追跡できる。

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-518

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