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Q37 Single choice

A company deploys an AI agent on Amazon Bedrock AgentCore Runtime. The agent processes customer requests. Some agent actions are classified as high risk and must receive human approval before proceeding. The workflow must pause the agent, notify a human approver, and resume or cancel the action based on the approver's decision. Approvals typically take between 5 minutes and 60 minutes.

Which solution will meet these requirements?

A
Configure the agent to write high-risk action requests to an Amazon SQS queue. Create a separate polling application that reads the queue and sends approval email messages by using Amazon SES. Configure the application to invoke the agent by providing the approval result.
B
Configure an AWS Step Functions workflow that invokes the agent. Use a task token callback pattern to pause the workflow when the agent identifies a high-risk action. Send the task token to an approver by using Amazon SNS. Resume or cancel the workflow when the approver responds with the task token.
C
Configure the agent to invoke an AWS Lambda function for high-risk actions. Configure the Lambda function to send an approval email message by using Amazon SNS. Configure the Lambda function to poll an Amazon DynamoDB table until the approver updates the approval status.
D
Configure an Amazon EventBridge rule that intercepts all agent actions. Route high-risk actions to a separate approval queue. Create a second agent that monitors the queue and automatically approves or rejects actions without human input based on predefined rules.

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