Separating supervised and unsupervised learning | AWS Certified AI Practitioner (AIF-C01) original practice question

1.1Basic

There are labeled customer records and unlabeled usage logs.

Choose the learning method for each goal.

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

CorrectClassification or regression from target labels is supervised learning

It learns a mapping from inputs to targets.

CorrectClustering and dimensionality reduction without labels are unsupervised learning

They explore hidden structure.

IncorrectUnsupervised learning always requires human labels

Labels are not assumed.

IncorrectRegression only predicts categories

It can predict continuous values.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 1.1の教師あり学習、教師なし学習、分類、回帰を確認する。

ラベルの有無と予測・構造探索の目的から学習方法を説明できる。

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-412

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