AWS Certified AI Practitioner (AIF-C01) — Question 62

A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model.
The company needs to implement a solution to host the model and serve predictions without managing any of the underlying infrastructure.
Which solution will meet these requirements?

Answer options

• 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 serve predictions.
• D. Use AWS Batch to host the model and serve predictions.

Correct answer: A

Explanation

The correct answer is A because Amazon SageMaker Serverless Inference allows deployment of machine learning models without the need to manage infrastructure, making it ideal for this scenario. The other options, such as Amazon CloudFront and Amazon API Gateway, are not designed specifically for model hosting and serving predictions, while AWS Batch is more suited for batch processing rather than real-time inference.