Crucial Exams

AWS Certified AI Practitioner AIF-C01 Practice Question

A team has finished training a machine learning model in Amazon SageMaker. They now need to expose the model to a web application for real-time predictions but want to avoid managing web servers, operating-system patches, or scaling infrastructure. Which deployment option should they choose?

  • Deploy the model to an Amazon SageMaker real-time endpoint.

  • Store the model artifacts in an Amazon S3 bucket and have the application download and run inference locally.

  • Host the model on an on-premises server and expose it through a VPN connection.

  • Build a Docker image with the model and run it on Amazon EC2 instances behind an Application Load Balancer.

AWS Certified AI Practitioner AIF-C01
Fundamentals of AI and ML
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