AWS Certified Generative AI Developer - Professional AIP-C01

By Amazon · Question Mode

QuestionQ54

Operational Efficiency and Optimization for GenAI Applications

A retail company is building a customer-service application that must handle 10,000 daily queries about products, orders, and warranties. The application must be able to answer queries about 50,000 product documents that are updated daily. The application must integrate with an order-management API to check order status and help process returns. The application must preserve context across multi-turn customer interactions. The company must collect complete audit trails for application responses.

Which solution meets these requirements with the LEAST operational overhead?

Explanation

Amazon Bedrock Agents can use action groups to invoke defined API actions, while an associated Amazon Bedrock knowledge base uses RAG to retrieve relevant, current information from product documents instead of requiring model retraining. Reusing an agent session maintains conversational context across turns, and enabling trace captures the agent’s processing steps, actions, and response trace. These managed features minimize the infrastructure and operational work required.

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