AWS Certified AI Practitioner AIF-C01 Practice Question
An organization wants to build a chatbot that must gather user details, call an internal order system, and then summarize the result for the user. Which capability of Agents for Amazon Bedrock simplifies handling this multi-step workflow?
Reducing inference latency by caching model outputs at edge locations
Dynamically fine-tuning the foundation model for every individual query
Orchestrating the sequence of prompts and API calls needed to complete the task end-to-end
Providing a managed vector database for storing conversation embeddings
Agents for Amazon Bedrock can automatically break a user request into individual steps, generate the appropriate prompts, invoke external APIs, and then combine the results into a single response. This orchestration removes the need for developers to manually script each intermediate call. The service does not provide a vector database, perform on-the-fly fine-tuning, or cache model outputs at edge locations, so those options do not address the requirement.
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AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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