Making generation reproducible | AWS Certified AI Practitioner (AIF-C01) original practice question

2.3Standard

Auditors need to compare repeated outputs.

Control generation variation.

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

CorrectRecord model version, prompt, sampling settings, input, and tool results

Conditions can be reproduced.

CorrectUse a fixed evaluation set and low variation to compare changes

Differences become measurable.

IncorrectA model name alone is enough; provider version and settings need not be saved

Actual conditions can differ.

IncorrectKeep only an unreproducible success example

Audit comparison is impossible.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 2.3・3.4の生成再現性、評価、モデル版管理を確認する。

生成条件を保存して、変更前後の出力を再現・比較できる。

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-438

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