5.1Standard
A new AI feature infers personal information.
Assess impact before launch.
Choose two practices.
× Incorrect
Map data, purpose, subjects, inferences, sharing, retention, and rights, then review reidentification, inference, transfer, access, and reuse risks.
Detailed explanation
CorrectInventory data, purpose, subjects, inferences, recipients, retention, and rights
Processing is visible.
IncorrectStart assessment only after complaints
Prevention is delayed.
IncorrectNo direct name means no privacy impact
Inferences and combinations still matter.
CorrectReview reidentification, inference, cross-border, access, and reuse risks with stakeholders
Prevention is possible.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 5.1のプライバシー影響、個人データ、リスク評価を確認する。
Official references
What to confirm
直接識別子だけでなく推論・組合せによるプライバシー影響を事前に評価できる。
Key points
- PIA
- Inference
- Reidentification
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
Privacy impact assessment
A structured review of personal-data processing, risks, and mitigations.
Inference data
A conclusion or attribute derived from observed data about a person or group.
Question IDAWS-AIF-471
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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