AWS Certified Generative AI Developer - Professional AIP-C01

By Amazon · Question Mode

QuestionQ18

Operational Efficiency and Optimization for GenAI Applications

A medical company is developing a generative AI (GenAI) application that uses RAG to deliver evidence-based medical information. The application uses Amazon OpenSearch Service to retrieve vector embeddings. Users report that searches often miss results containing exact medical terms and acronyms, while returning too many semantically similar but irrelevant documents. The company must improve retrieval quality while keeping end-user latency low, even as the document collection scales to millions of documents.

Which solution meets these requirements with the LEAST operational overhead?

Explanation

Hybrid search combines keyword matching, which retrieves exact medical terminology and acronyms, with vector similarity search, which preserves semantic relevance. Amazon OpenSearch Service supports hybrid search for combining keyword and semantic search capabilities, so it improves relevance without introducing separate post-processing or ML reranking infrastructure and its associated latency and operational overhead.

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