Separating regression and classification | AWS Certified AI Practitioner (AIF-C01) original practice question

1.1Basic

Predict a house price and classify a request as urgent or normal.

Choose the task for each output.

Choose two mappings.

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 regression to predict a continuous house price

The output is a numeric value.

CorrectUse classification to assign a request to a known category

The output is a class or probability.

IncorrectClassification always returns a continuous price

Classification predicts categories.

IncorrectRegression returns only a category name

Regression predicts a number.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 1.1の機械学習タスクとモデル出力を確認する。

予測対象が数値かカテゴリかで回帰・分類を選べる。

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-372

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