AWS Certified Generative AI Developer - Professional AIP-C01

By Amazon · Question Mode

QuestionQ45

Operational Efficiency and Optimization for GenAI Applications

A healthcare company uses Amazon Bedrock to build a real-time patient-care AI assistant that answers queries for separate departments responsible for clinical inquiries, insurance verification, appointment scheduling, and insurance claims. The company wants to use a multi-agent architecture.

The company must ensure that the AI assistant is scalable and can onboard new patient features. The AI assistant must be capable of handling thousands of parallel patient interactions. The company must ensure that patients receive suitable domain-specific responses to their queries.

Which solution will meet these requirements?

Explanation

Amazon Bedrock multi-agent collaboration supports a supervisor agent that routes requests to specialized collaborator agents. Each collaborator can be configured for a distinct department and use its own knowledge base for Retrieval Augmented Generation, which preserves domain specialization and allows capabilities to expand by adding collaborators. The supervisor-with-routing model is designed to send a request to the appropriate collaborator and reduce latency. Use multi-agent collaboration with Amazon Bedrock Agents Create multi-agent collaboration

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