An AI practitioner with minimal machine learning experience needs to predict employee attrition without writing code. Which Amazon SageMaker capability meets this need?

SageMaker Canvas is the correct choice because it provides a visual, no-code interface for building, training, and deploying machine learning models, making it ideal for users with minimal ML experience. It allows practitioners to import data, select models, and generate predictions without writing a single line of code, directly addressing the need to predict employee attrition. SageMaker Clarify is used for detecting bias and explaining model predictions, not for building models. SageMaker Model Monitor tracks the performance and quality of deployed models, which happens after model creation. SageMaker Data Wrangler is for data preparation and feature engineering, a step before model building, but not the complete solution for no-code model development and prediction.