AIP-C01 Question #41: Real Exam Question with Answer & Explanation

Question

A company runs a Retrieval Augmented Generation (RAG) application that uses Amazon Bedrock Knowledge Bases to perform regulatory compliance queries. The application uses the RetrieveAndGenerateStream API. The application retrieves relevant documents from a knowledge base that contains more than 50,000 regulatory documents, legal precedents, and policy updates. The RAG application is producing suboptimal responses because the initial retrieval often returns semantically similar but contextually irrelevant documents. The poor responses are causing model hallucinations and incorrect regulatory guidance. The company needs to improve the performance of the RAG application so it returns more relevant documents. Which solution will meet this requirement with the LEAST operational overhead?

Options

• ADeploy an Amazon SageMaker endpoint to run a fine-tuned ranking model. Use an Amazon API
• BUse Amazon Comprehend to classify documents and apply relevance scores. Integrate the RAG
• CImplement a retrieval pipeline that uses the Amazon Bedrock Knowledge Bases Retrieve API to
• DUse the latest Amazon reranker model through the reranking configuration within Amazon