Anonymizing AI usage analytics | AWS Certified AI Practitioner (AIF-C01) original practice question

3.3Standard

Usage trends are analyzed for improvement.

Avoid tracking users unnecessarily.

Choose two designs.

Hint 1: Focus on the requirement

Identify what must change and what must remain unchanged. Then choose the command whose scope matches that requirement.

Hint 2: Check each command's role

Separate commands that display information, change state, remove data, or affect a child process.

Detailed explanation

CorrectUse purpose-limited aggregation or pseudonyms and separate identifiers

Analysis and privacy are balanced.

CorrectReview small groups, joins, consent scope, and deletion requests for reidentification risk

Aggregate data is not overtrusted.

IncorrectJoin full conversations to personal IDs forever

Minimization is violated.

IncorrectAggregation always makes data anonymous

External data can reidentify people.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 5.1の仮名化、集計、再識別リスクを確認する。

改善分析に必要な情報を残しながら、利用者追跡と再識別を抑えられる。

Foundation review

Check whether the command acts on the current shell, a new process, an existing process, or a file.

Use the supplied command and compare the output with the expected result.

Question IDAWS-AIF-510

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