Explain an AI decision during an audit.
Do not retain unnecessary personal data.
Choose two evidence practices.
Correlate request, principal, time, model, data, and policy versions, and manage retention, access, tamper detection, masking, and deletion.
Detailed explanation
Processing and changes can be correlated.
Processing and changes can be correlated.
Evidence is protected without excess personal data.
Evidence is protected without excess personal data.
Unnecessary sensitive retention grows.
Unnecessary sensitive retention grows.
Reproduction and root-cause analysis fail.
Reproduction and root-cause analysis fail.
Try it yourself
An example you can run in a temporary verification environment.
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。Expected result
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
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.