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AIF-C01 practice question: AWS generative AI services (5 of 5)

Fundamentals of Generative AI A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.

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A development team wants an AI coding assistant that turns a feature request into requirements, a design and a task list that the team can review before any code is written.

Which AWS offering is built around this spec-driven approach?

Choose one answer.

  1. A. AWS CodeBuild, which compiles and tests existing code in managed build environments
  2. B. Amazon Bedrock Guardrails, which screen model inputs and outputs for unsafe content
  3. C. AWS CloudFormation, which provisions cloud infrastructure from declarative templates the team writes
  4. D. Kiro, an agentic coding service that drafts specs for team review
Show the answer and explanation

Answer: D

  • A. Wrong: CodeBuild runs build and test jobs for code that already exists. It does not turn a feature request into a specification or write the code.
  • B. Wrong: Guardrails screen model inputs and outputs for harmful or sensitive content. They do not plan or write software.
  • C. Wrong: CloudFormation provisions cloud resources from templates the team writes. It does not generate requirements, designs or code.
  • D. Right: Correct. Kiro's spec-driven development generates requirements, a design and implementation tasks, and the developer reviews each one before the tasks run. This matches the team's need to check the plan before code is written. Learn more: Build a multi-account patch compliance dashboard with Kiro specs (opens in a new tab)

Explanation

Kiro is an agentic coding service from AWS. In spec-driven development it turns a request into requirements, a design and implementation tasks. The developer reviews each phase before the tasks are run, so the plan is checked before any code is written.

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