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AIF-C01 practice question: Prompt engineering (3 of 4)

Applications of Foundation Models 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 marketing team uses the same carefully written prompts across several applications.

It wants to store each prompt centrally with variables such as {{product}}, keep saved versions, compare variants that run on different models, and reuse the prompts in applications.

Which Amazon Bedrock feature provides this?

Choose one answer.

  1. A. Amazon Bedrock Guardrails, which filter harmful content and personal data from prompts
  2. B. Amazon Bedrock Model Evaluation, which scores model responses against chosen quality criteria
  3. C. Amazon Bedrock Prompt Management, which stores versioned prompts with variables
  4. D. Amazon Bedrock Provisioned Throughput, which reserves dedicated model capacity for peak load
Show the answer and explanation

Answer: C

  • A. Wrong: Guardrails filter content and sensitive data in inputs and outputs. They do not store, version or share prompt templates.
  • B. Wrong: Model Evaluation scores model outputs, which helps choose a model. It does not hold a library of reusable prompts with variables.
  • C. Right: Correct. Prompt Management saves reusable prompts with variables and versions, and it lets teams create variants that run on different models for side-by-side comparison. Applications can call a deployed prompt version at runtime. Learn more: Create and manage prompts with Prompt management (opens in a new tab)
  • D. Wrong: Provisioned Throughput reserves model capacity at a fixed hourly cost. It affects throughput and cost, not how prompts are stored or versioned.

Explanation

Prompt Management in Amazon Bedrock lets teams create, edit and save reusable prompts with variables such as {{topic}}. Teams save versions, deploy one to an application, and create variants to compare outputs across models.

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