Q50 — AWS AIF-C01 Ch.1

Question 50 of 100 | ← Chapter 1

A company needs to select a model from Amazon Bedrock for internal use. The company must ensure the model generates responses in a style preferred by its employees. Which approach should the company take to meet these requirements?

• A. Evaluate models using the built-in prompt dataset.
• B. Evaluate models using human reviewers and a custom prompt dataset. ✓
• C. Identify models using public model leaderboards.
• D. Use the Model InvocationLatency runtime metric in Amazon CloudWatch when testing models.

Correct Answer: B. Evaluate models using human reviewers and a custom prompt dataset.

Explanation

This question tests the method for selecting a model suited to organizational needs. In practice, to satisfy requirements for generating responses in a specific style, built-in prompt datasets may be insufficient. Public model leaderboards and runtime metrics do not directly address stylistic requirements. Using human reviewers and a custom prompt dataset enables more precise evaluation aligned with employee preferences. Therefore, the correct answer is B.