Handle product categories, prices, and descriptions.
Choose the appropriate machine-learning task.
Choose two correct mappings.
Classification returns discrete classes, regression estimates continuous values, and generation creates new content.
Detailed explanation
The output is a discrete class.
The output is a discrete class.
The output is a continuous estimate.
The output is a continuous estimate.
Clustering does not directly generate prose.
Clustering does not directly generate prose.
Classification normally returns defined classes or scores.
Classification normally returns defined classes or scores.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 1.1のAI・機械学習タスクと生成AIを確認する。Expected result
予測対象の型と必要な出力から分類・回帰・生成を区別できる。Key points
- Classification
- Regression
- Generation
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
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.