AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 97

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?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Create a knowledge base for Amazon Bedrock. Configure a data source that references the S3 bucket. Use the Amazon Bedrock API to perform RAG queries. Amazon S3 provides durable, scalable object storage that is fully managed. Amazon Bedrock provides access to foundation models through a managed API. AWS Config tracks resource configuration changes and evaluates compliance.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 97