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CloudCertPrep
AIF-C01Domain 3: Applications of Foundation ModelsGenerative AI & BedrockmediumSingle choice

A company wants (a) a chatbot that answers questions from their document set, and (b) the assistant to complete multi-step tasks like looking up an order and issuing a refund. Which Bedrock capabilities map to each?

A.Agents for both

Agents can consult knowledge bases but the doc-Q&A job is what Knowledge Bases are built for.

B.Knowledge Bases for document Q&A (managed RAG); Agents for multi-step actions via tool/API calls

Correct. Managed RAG vs orchestrated actions — the exam's distinction.

C.Fine-tuning for both

Fine-tuning adapts behavior, it doesn't retrieve documents or take actions.

D.Prompt engineering alone for both

Prompts alone can't fetch private docs or call APIs.

Why this answer

Knowledge Bases automate the RAG pipeline (ingest docs → embeddings → retrieve → generate). Agents orchestrate multi-step reasoning + action groups (Lambda/API calls) for task completion — different jobs, different features.

Correct answer: B · Last reviewed 2026-10-28

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