AWS Certified Generative AI Developer - Professional
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A healthcare company is using Amazon Bedrock to develop a real-time patient care AI assistant to respond to queries for separate departments that handle 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 features for patients. The AI assistant must be able to handle thousands of parallel patient interactions. The company must ensure that patients receive appropriate domain-specific responses to queries. Which solution will meet these requirements?
A
Isolate data for each agent by using separate knowledge bases. Use IAM filtering to control access to each knowledge base. Deploy a supervisor agent to perform natural language intent classification on incoming queries and route them to the appropriate agent. Use Amazon Bedrock Knowledge Bases with vector search to provide relevant context to each agent.
B
Use a single knowledge base for all agents. Use IAM filtering to control access to each agent's data. Deploy a supervisor agent to perform natural language intent classification on incoming queries and route them to the appropriate agent. Use Amazon Bedrock Knowledge Bases with vector search to provide relevant context to each agent.
C
Isolate data for each agent by using separate knowledge bases. Use IAM filtering to control access to each knowledge base. Deploy a supervisor agent to perform natural language intent classification on incoming queries and route them to the appropriate agent. Use Amazon Bedrock Knowledge Bases with keyword search to provide relevant context to each agent.
D
Isolate data for each agent by using separate knowledge bases. Use IAM filtering to control access to each knowledge base. Deploy a supervisor agent to perform natural language intent classification on incoming queries and route them to the appropriate agent. Use Amazon Bedrock Knowledge Bases with hybrid search to provide relevant context to each agent.