AWS Certified AI Practitioner AIF-C01 Practice Question
A developer is building a Bedrock-powered assistant that must gather a customer's address, call an internal shipping API, and then return a confirmation-all triggered by a single user request. Within Amazon Bedrock, what is the primary function of an agent in this workflow?
Hosting the foundation model inside a dedicated VPC subnet to minimize latency.
Creating and executing a step-by-step plan that calls external APIs and returns the results to the user.
Fine-tuning the foundation model on shipping-related data for higher response accuracy.
Reducing prompt size by automatically compressing user input and model output.
Agents for Amazon Bedrock automatically break down a user's request into a plan of steps, invoke the required APIs or other functions in the correct order, and pass results back to the foundation model so it can generate a final natural-language response. The other options describe capabilities unrelated to task orchestration: token compression does not exist as a Bedrock feature, private VPC hosting is handled through model access settings rather than agents, and fine-tuning adapts model weights but does not coordinate multi-step actions.
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AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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