1.1Basic
Predict a house price and classify a request as urgent or normal.
Choose the task for each output.
Choose two mappings.
× Incorrect
Regression predicts a continuous number, while classification assigns an input to a defined category.
Detailed explanation
IncorrectRegression returns only a category name
Regression predicts a number.
CorrectUse classification to assign a request to a known category
The output is a class or probability.
CorrectUse regression to predict a continuous house price
The output is a numeric value.
IncorrectClassification always returns a continuous price
Classification predicts categories.
Check official documentation
Compare the following points with the official documentation.
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。
Official references
What to confirm
予測対象が数値かカテゴリかで回帰・分類を選べる。
Key points
- Regression
- Classification
- Output
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Regression
A task that predicts a continuous numeric value.
Classification
A task that assigns an input to one or more predefined categories.
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
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