Question 67 of 68
Single answerCertylQ o pn ssn saio ps sdspx see p e s oo company's website. The images can be up to 50 MB in total size. An ML engineer decides to store the images in an Amazon S3 bucket. The ML engineer must implement a Which solution will meet these requirements with the LEAST operational overhead?
ACreate an Amazon SageMaker batch transform job to process all the images in the S3 bucket.
✓BCreate an Amazon SageMaker Asynchronous Inference endpoint and a scaling policy. Run a script to make an inference request for each image.
CCreate an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that uses Karpenter for auto scaling. Host the model on the EKS cluster. Run a script to make an inference request for each image.
DCreate an AWS Batch job that uses an Amazon Elastic Container Service (Amazon ECS) cluster. Specify a list of images to process for each AWS Batch job.
✓
Correct Answer: B
Create an Amazon SageMaker Asynchronous Inference endpoint and a scaling policy. Run a script to make an inference request for each image.
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Explanation
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