Home / AWS Certified AI Practitioner (AIF-C01) / 5 Practice / AWS-AIF-309
Log prompts and outputs for troubleshooting.
Do not retain card numbers or personal data.
Choose two designs.
Hint 1: Focus on the requirement Redact sensitive values before storage, then govern who can read, copy, retain, and delete the resulting log records.
Hint 2: Key terms Review log masking and log lifecycle.
Log maskingHiding or replacing personal data, secrets, or other sensitive values before logging.
Log lifecycleThe stages of collecting, accessing, sharing, retaining, deleting, and auditing logs.
RedactionRemoving or obscuring sensitive content from a record while preserving safe context.
Access separationKeeping log viewing, administration, export, and deletion permissions distinct. × Incorrect Detect and mask or tokenize sensitive values before logging, and audit log access, retention, copying, export, and deletion requests.
Detailed explanation A Correct Audit log access, retention, copying, export, and deletion handling
Logs have their own data lifecycle.
B Incorrect Treat internal logs as requiring no access separation
Insider misuse and compromise remain possible.
C Incorrect Save all secrets unmodified for incident investigation
The log becomes a source of leakage.
D Correct Detect, mask, or tokenize sensitive values before recording and keep only needed identifiers
Troubleshooting and confidentiality are balanced.
Check official documentation Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 5.1のログ保護、データ最小化、Guardrailsを確認する。
Official references Official documentation 1 Official documentation 2 What to confirm 調査用ログへ必要な証跡を残しつつ機密情報を最小化できる。
Key points Masking Tokenization Log 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 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 Log masking Hiding or replacing personal data, secrets, or other sensitive values before logging.
Log lifecycle The stages of collecting, accessing, sharing, retaining, deleting, and auditing logs.
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