A company is creating a workflow to review customer-facing communications before the company sends the communications. The company uses a pre-defined message template to generate the communications…

Question

Options

• ACreate a flow in Amazon Bedrock Flows. Configure S3 action nodes at the beginning and end of
• BCreate an AWS Step Functions Express workflow state machine. Use an Amazon S3 integration
• CCreate an Amazon Bedrock agent that has an action group. Configure instructions to define how
• DCreate an Amazon Bedrock agent that has a single action group. Configure three AWS Lambda

• A
  74% (14)
• B
  5% (1)
• C
  5% (1)
• D
  16% (3)

Explanation

Option A is the correct answer because Amazon Bedrock Flows is purpose-built to orchestrate generative AI workflows that combine data access, deterministic transformations, and model invocation with minimal operational overhead. The requirements explicitly state that the workflow must retrieve content from Amazon S3, extract a specific portion of a predefined template, send that portion to an Amazon Bedrock model, and store the model's response back into the same S3 bucket. Amazon Bedrock Flows natively supports all of these steps. By configuring S3 action nodes at the beginning and end of the flow, the workflow can retrieve the original communications and persist the reviewed output without custom code. The expression step allows deterministic parsing of a specific portion of the template, which is essential when only part of the message should be reviewed. This avoids relying on generative logic for parsing, which would be less predictable and harder to audit. The agent step is then used specifically for the review task, where the foundation model evaluates or modifies the extracted content.

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