Question 24 of 68
Single answerCertylQ A company has a Retrieval Augmented Generation (RAG) application that uses a vector database to store 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. Query Amazon Kendra to perform the semantic searches.
✓COption C text unavailable (OCR).
DUse an Amazon Textract asynchronous job to ingest the documents from the S3 bucket. Query Amazon Textract to perform the semantic searches.
✓
Correct Answer: C
Option C text unavailable (OCR).
▥
Explanation
The correct answer is highlighted above. Review the wording carefully, then use the next question to continue building your understanding of AWS certification topics.