AWS Certified Generative AI Developer - Professional AIP-C01

By Amazon · Question Mode

QuestionQ23

Operational Efficiency and Optimization for GenAI Applications

A company is developing an AI advisory application with Amazon Bedrock that will provide recommendations to customers. The company requires the application to explain its reasoning and cite specific data sources. It must retrieve information from company data sources and present step-by-step reasoning for its recommendations. It must also connect data claims to source documents and keep response latency below 3 seconds.

Which solution meets these requirements with the LEAST operational overhead?

Explanation

Amazon Bedrock Knowledge Bases provides managed retrieval-augmented generation over company data and can return source attribution that links generated claims to the retrieved source documents. Relevance-based retrieval limits the context supplied to the model, supporting lower latency without building and operating custom retrieval, tracking, or model-hosting infrastructure. This managed approach has less operational overhead than custom SageMaker, Lambda, database, or retrieval-tracking implementations.

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