Q98 — AWS AIF-C01 Ch.1

Question 98 of 100 | ← Chapter 1

A company has developed a machine learning model for image classification. The company wants to deploy this model into a production environment so that a web application can use it for predictions. The company needs to implement a solution to host the model and provide prediction services without managing any underlying infrastructure. Which solution meets these requirements?

• A. Use Amazon SageMaker Serverless Inference to deploy the model. ✓
• B. Use Amazon CloudFront to deploy the model.
• C. Use Amazon API Gateway to host the model and provide prediction services.
• D. Use AWS Batch to host the model and provide prediction services.

Correct Answer: A. Use Amazon SageMaker Serverless Inference to deploy the model.

Explanation

This question tests understanding of different AWS service capabilities. In this scenario, Amazon SageMaker Serverless Inference requires no management of underlying infrastructure and directly deploys models while providing prediction services. Other options—Amazon CloudFront is primarily for content delivery, API Gateway focuses on API management, and AWS Batch is for batch processing tasks—do not satisfy the stated requirements. Therefore, option A is correct.