5.1Standard
A new dataset is added to a training pipeline.
Prevent data with unclear permission from reaching production training.
Choose two designs.
× Incorrect
Inspect permission, purpose, personal data, region, and retention before training and bind the approved version and reviewer to the job.
Detailed explanation
IncorrectPrioritize training speed and review permission after production
Improper use happens first.
IncorrectA license URL removes the need to check personal data and retention
A license does not define every obligation.
CorrectCheck permission, purpose, personal data, region, and retention and allow only approved data
Unqualified data is stopped.
CorrectPin the dataset version and approver to the job and review changes again
The training approval is traceable.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 5のデータガバナンスと承認プロセスを確認する。
Official references
What to confirm
データの許諾・プライバシー・版管理を学習開始前のゲートへ組み込める。
Key points
- Approval gate
- Dataset version
- Re-review
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
Data approval gate
A control that prevents a dataset from entering a workflow until requirements pass.
Purpose compatibility
Whether a planned use matches the purpose for which data was obtained.
Question IDAWS-AIF-532
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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