What is the MOST appropriate AWS solution to chunk documents and store vectors for retrieval?
Multiple choice — select one answer
Answer choices
Architectural breakdown & explanation
Vector stores hold embeddings for semantic retrieval in RAG pipelines.
Correct answer(s): b. Amazon OpenSearch Serverless or Amazon Aurora vector store with Bedrock
Exam domain: Domain 3: Applications of Foundation Models (28% weight on the official guide).
Official documentation & study links
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