A support feature drafts a reply to a customer message.
A separate model labels the message as urgent or normal.
Which output is a representative generative-AI output?
Generating a new reply is a generative task; predicting a fixed label is classification.
Detailed explanation
This is an infrastructure monitoring result, not generated content.
Assigning a predefined class is classification.
The model creates new text from the input, which is a generative use case.
This is a database integrity feature, not model content generation.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01ガイドのDomain 2.1で生成AIの定義とユースケースを確認する。
Official references
What to confirm
新しいコンテンツ生成と、分類・制約検査・監視の出力を区別できる。
Key points
- New content
- Generation versus classification
- Business assistance
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 contract
A fixed label set supports classification, while a generated response needs content, format, and safety checks.
Evaluation method
Generated text and class predictions require different quality metrics and acceptance criteria.