Understanding temperature | AWS Certified AI Practitioner (AIF-C01) original practice question

2.3Standard

A creative writer and a fixed classifier use the same model.

Adjust output variation.

Choose two descriptions.

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

CorrectHigher temperature can increase variation for creative output

Sampling is broader.

CorrectTry lower temperature for fixed classification or extraction and evaluate accuracy

Unneeded randomness is reduced.

IncorrectHigher temperature guarantees factual answers

Creativity and factuality are separate.

IncorrectTemperature updates training data

It is a generation-time setting.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 2.3のtemperature、サンプリング、生成制御を確認する。

生成の多様性と定型タスクの安定性をtemperatureの観点で比較できる。

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-418

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