AWS Certified AI Practitioner (AIF-C01) — Question 321

A company is using Amazon SageMaker to deploy a model that identifies if social media posts contain certain topics. The company needs to show how different input features influence model behavior.

Which SageMaker feature meets these requirements?

Answer options

• A. SageMaker Canvas
• B. SageMaker Clarify
• C. SageMaker Feature Store
• D. SageMaker Ground Truth

Correct answer: B

Explanation

Amazon SageMaker Clarify provides explainability for machine learning models by calculating feature attributions to show how much each input feature contributes to the model's predictions. Other options like SageMaker Canvas (a no-code ML builder), SageMaker Feature Store (a feature repository), and SageMaker Ground Truth (a data labeling service) do not offer model explainability capabilities.