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A company wants to use Amazon SageMaker AI to host an ML model that runs...

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A company wants to use Amazon SageMaker AI to host an ML model that runs on CPU for real-time predictions. The model has intermittent traffic during business hours and periods of no traffic after business hours.

Which hosting option will serve inference requests in the MOST cost-effective manner?

A.

Deploy the model to a real-time endpoint with scheduled auto scaling.

B.

Deploy the model to a SageMaker AI Serverless Inference endpoint with provisioned concurrency during business hours.

C.

Deploy the model to an asynchronous inference endpoint with auto scaling to zero.

D.

Deploy the model to a real-time endpoint and activate it only during business hours using AWS Lambda.

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