Defining AI change approval | AWS Certified AI Practitioner (AIF-C01) original practice question

4.3Standard

Models, data, prompts, and use cases change.

Match approval to risk.

Choose two practices.

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.

変更の影響・利用者・データ・安全性・公平性・法務を評価して承認レベルを決める: High-impact changes receive control.
軽微な変更と高影響変更の基準、テスト、承認、ロールバックを文書化する: Decisions are consistent.
プロンプトの修正はコードでないので全て無承認でよい: Behavior and risk change.
承認者を決めず、成功後に記録だけ作る: There is no preventive control.

Detailed explanation

CorrectAssess user, data, safety, fairness, and legal impact to choose an approval level

High-impact changes receive control.

CorrectDocument criteria, tests, approvers, and rollback for minor and high-impact changes

Decisions are consistent.

IncorrectPrompts are text, so all prompt changes are automatically approved

Behavior and risk change.

IncorrectCreate an approval record only after success

There is no preventive control.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 4.3の変更管理、リスク分類、承認を確認する。

変更の種類と影響に応じた承認・検証・復旧を設計できる。

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-490

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