5.2Standard
Explain an AI decision during an audit.
Do not retain unnecessary personal data.
Choose two evidence practices.
× Incorrect
Correlate request, principal, time, model, data, and policy versions, and manage retention, access, tamper detection, masking, and deletion.
Detailed explanation
CorrectRecord request ID, principal, time, model, data, policy versions, and result state
Processing and changes can be correlated.
IncorrectSave only the final result without model or policy versions
Reproduction and root-cause analysis fail.
IncorrectKeep every raw prompt forever for audit
Unnecessary sensitive retention grows.
CorrectManage retention, access, tamper detection, masking, and deletion for logs
Evidence is protected without excess personal data.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 5.2の監査、ログ、データ保護、コンプライアンスを確認する。
Official references
What to confirm
AI判断と変更を説明できる最小限で保護された監査証跡を設計できる。
Key points
- Audit trail
- Correlation ID
- Tamper detection
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
Audit trail
A chronological record that allows actions and changes to be reviewed later.
Correlation ID
An identifier used to connect related events across services.
Question IDAWS-AIF-351
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
Report an error or rights issue