Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 231 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01

Question #: 231
Topic #: 1

[All AWS Certified AI Practitioner AIF-C01 Questions]

A company wants to create a chatbot that answers questions about human resources policies. The company is using a large language model (LLM) and has a large digital documentation base.

Which technique should the company use to optimize the generated responses?

A. Use Retrieval Augmented Generation (RAG).
B. Use few-shot prompting.
C. Set the temperature to 1.
D. Decrease the token size.

Show Suggested Answer

Suggested Answer: A 🗳️

by nand2804 at Aug. 4, 2025, 6:48 p.m.

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nand2804

2 weeks ago

Selected Answer: A

Retrieval Augmented Generation (RAG) is a technique that enhances a large language model (LLM) by retrieving relevant documents or passages from a knowledge base (such as HR policy documents) at inference time, and then using that retrieved content to generate more accurate, context-aware responses. This is ideal when: You have a large documentation base, and You want responses to be grounded in factual, internal data (like HR policies).

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