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Avoid data not needed for the purpose.
Choose two designs.
Extract only needed fields, mask or tokenize identifiers, and manage retention, access, reuse, deletion, and sharing by purpose.
Detailed explanation
Less personal data reaches the model.
Less personal data reaches the model.
The data lifecycle is controlled.
The data lifecycle is controlled.
Purpose-limited retention is lost.
Purpose-limited retention is lost.
Unnecessary exposure results.
Unnecessary exposure results.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 4.1のプライバシー、データ最小化、匿名化を確認する。Expected result
目的に不要な個人情報をAI処理・ログ・保存から減らせる。Key points
- Minimization
- Anonymization
- Retention
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.