AIP-C01 · Question #11
AIP-C01 Question #11: Real Exam Question with Answer & Explanation
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Question
A financial services company is developing a Retrieval Augmented Generation (RAG) application to help investment analysts query complex financial relationships across multiple investment vehicles, market sectors, and regulatory environments. The dataset contains highly interconnected entities that have multi-hop relationships. Analysts must examine relationships holistically to provide accurate investment guidance. The application must deliver comprehensive answers that capture indirect relationships between financial entities and must respond in less than 3 seconds. Which solution will meet these requirements with the LEAST operational overhead?
Options
- AUse Amazon Bedrock Knowledge Bases with GraphRAG and Amazon Neptune Analytics to store
- BUse Amazon Bedrock Knowledge Bases and an Amazon OpenSearch Service vector store to
- CUse Amazon OpenSearch Serverless vector search with k-nearest neighbor (k-NN). Implement
- DUse Amazon DynamoDB to store financial data in a custom indexing system. Use AWS Lambda
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