Amazon Exam MLA-C01 Topic 1 Question 6 Discussion

Actual exam question for Amazon's MLA-C01 exam

Question #: 6
Topic #: 1

A company has a Retrieval Augmented Generation (RAG) application that uses a vector database to store embeddings of documents. The company must migrate the application to AWS and must implement a solution that provides semantic search of text files. The company has already migrated the text repository to an Amazon S3 bucket.

Which solution will meet these requirements?

AUse an AWS Batch job to process the files and generate embeddings. Use AWS Glue to store the embeddings. Use SQL queries to perform the semantic searches.

BUse a custom Amazon SageMaker notebook to run a custom script to generate embeddings. Use SageMaker Feature Store to store the embeddings. Use SQL queries to perform the semantic searches.

CUse the Amazon Kendra S3 connector to ingest the documents from the S3 bucket into Amazon Kendra. Query Amazon Kendra to perform the semantic searches.

DUse an Amazon Textract asynchronous job to ingest the documents from the S3 bucket. Query Amazon Textract to perform the semantic searches.

Show Suggested Answer

Suggested Answer: C

by Yuki at Jun 13, 2025, 05:16 PM

Limited Time Offer

25%

24 days ago

I think option A is the best choice because it uses AWS Batch and Glue for processing and storing embeddings.

upvoted 0 times

...