AWS Certified Generative AI Developer - Professional AIP-C01

By Amazon · Question Mode

QuestionQ12

Operational Efficiency and Optimization for GenAI Applications

A financial services company is building a Retrieval Augmented Generation (RAG) application to help investment analysts query complex financial relationships spanning multiple investment vehicles, market sectors, and regulatory environments. The dataset includes highly interconnected entities with multi-hop relationships. Analysts must be able to review these relationships holistically to deliver accurate investment guidance. The application must provide comprehensive answers that include indirect relationships among financial entities. The application must return responses in under 3 seconds.

Which solution meets these requirements with the LEAST operational overhead?

Explanation

Amazon Bedrock Knowledge Bases GraphRAG with Amazon Neptune Analytics is a fully managed graph-based RAG solution that automatically identifies entity relationships and traverses related graph nodes. It is designed to connect information through multiple logical steps, producing comprehensive, contextually relevant responses for highly interconnected data while avoiding custom relationship-mapping and query-orchestration infrastructure.

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