# AWS-Certified-Machine-Learning-Engineer---Associate-MLA-C01 — Question 427

**Type:** multiple_choice
**Topics:** topic_1

## Question

A company needs to use Retrieval Augmented Generation (RAG) to supplement an open source large language model (LLM) that runs on Amazon Bedrock. The company's data for RAG is a set of documents in an Amazon S3 bucket. The documents consist of .csv files and .docx files.

Which solution will meet these requirements with the LEAST operational overhead?

## Correct Answer

_See scenario._

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Source: https://hiexam.net/q/amazon/AWS-Certified-Machine-Learning-Engineer---Associate-MLA-C01/427  
Practice (tracked): https://hiexam.net/study/AWS-Certified-Machine-Learning-Engineer---Associate-MLA-C01/practice