Maintaining a golden set | AWS Certified AI Practitioner (AIF-C01) original practice question

3.4Standard

Compare models and prompts over time.

Use expert-checked expected answers.

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.

Detailed explanation

CorrectVersion representative, boundary, harmful, and multilingual cases with evidence and criteria

Comparisons are consistent.

CorrectControl access, changes, approval, leakage, and contamination of the evaluation set

Evaluation trust is protected.

IncorrectMix expected answers into public training data

The evaluation is contaminated.

IncorrectDiscard the set after each model release

Regressions cannot be compared.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 3.4の評価データ、回帰、モデル比較を確認する。

信頼できる固定評価セットでモデル・プロンプトの退行を検出できる。

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-381

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