2.2Standard
Answers need current policy facts and a consistent style.
Choose the method.
Choose two descriptions.
× Incorrect
Use retrieval for changing facts and sources, and consider tuning for stable task or style behavior; both need data and evaluation.
Detailed explanation
CorrectConsider tuning for stable task, format, or style behavior with evaluation data
Behavior can become consistent.
CorrectUse retrieval when facts and citations change often
Knowledge can update without retraining.
IncorrectFine-tuning automatically preserves current document citations
Updates and grounding need separate design.
IncorrectRAG always changes base model capability and format
It adds context at inference.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 2.2のRAG、ファインチューニング、データ更新を確認する。
Official references
What to confirm
知識の更新とモデルの振る舞いを分けて、RAGと調整を選べる。
Key points
- RAG
- Fine-tuning
- Update
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
RAG
Retrieval-augmented generation that supplies external evidence at request time.
Fine-tuning
Updating model parameters with task-specific training examples.
Question IDAWS-AIF-457
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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