1.1Basic
Document the type of a machine-learning task.
Use whether the output is a category or a continuous value.
Which use case is regression?
× Incorrect
Regression predicts a continuous value, while classification predicts a discrete category.
Detailed explanation
IncorrectDetect object locations in an image
Object detection handles positions and classes and is not this simple distinction.
CorrectPredict next month's sales amount
A future numeric amount is a regression target.
IncorrectGroup customers by purchasing behavior
Unlabeled grouping is clustering.
IncorrectClassify email as spam or not spam
A fixed class label is classification.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01ガイドDomain 1.1の機械学習タスク説明を確認する。
Official references
What to confirm
カテゴリ予測と連続値予測を分類・回帰として区別できる。
Key points
- Categories
- Continuous values
- Output type
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
Output type
The form of the required result determines which task and evaluation measures are appropriate.
Task boundary
A category prediction is different from estimating a quantity or discovering groups.
Question IDAWS-AIF-063
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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