Amazon Bedrock Agents is the correct choice because it extends foundation models with planning, memory, and runtime tool use so an assistant can carry out multi turn reasoning, break tasks into steps, and invoke external APIs based on intermediate outcomes.

Amazon Bedrock Agents supplies agent components that enable decomposition of tasks, state management across turns, and dynamic selection of tools during inference. This makes it possible to integrate HTTP calls to third party APIs as part of the agent workflow so the assistant can decide which API to call after evaluating intermediate results.

AWS Step Functions is incorrect because it orchestrates explicit, predefined workflows and states rather than providing LLM native planning or autonomous tool selection at inference time. Step Functions is better suited to fixed pipelines and long running state machines.

Amazon SageMaker JumpStart is incorrect because it provides prebuilt models and starter solutions for rapid prototyping and deployment rather than an integrated agent framework for multi turn reasoning and dynamic tool or API invocation by a model at runtime.

Amazon Augmented AI (A2I) is incorrect because it focuses on human in the loop review and validation of model outputs and not on enabling autonomous API calls or multi turn decision making by an LLM.

Full AWS Practitioner Certification Question