A company has developed an ML model to predict real estate sale prices.

Amazon SageMaker endpoints provide fully managed, serverless model deployment for real-time and batch predictions, allowing companies to deploy ML models without handling any servers or infrastructure management.

D is correct: SageMaker endpoints let you deploy, scale, and monitor ML models with no infrastructure overhead.

A and B require infrastructure management.

C (CloudFront/S3) is not for model deployment, but for static content delivery.

“Amazon SageMaker endpoints allow you to deploy machine learning models for inference without the need to manage underlying infrastructure.”

(Reference: AWS SageMaker Model Deployment, AWS Certified AI Practitioner Study Guide)