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A company is planning to run an AI/ML workload on AWS.

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A company is planning to run an AI/ML workload on AWS. The company needs to train a model on a dataset that is in Amazon S3 Standard. A model training application requires multiple compute nodes and single-digit millisecond access to the data.

Which solution will meet these requirements in the MOST cost-effective way?

A.

Move the data to S3 Intelligent-Tiering. Point the model training application to S3 Intelligent-Tiering as the data source.

B.

Add partitions to the S3 bucket by adding random prefixes. Reconfigure the model training application to point to the new prefixes as the data source.

C.

Move the data to S3 Express One Zone. Point the model training application to S3 Express One Zone as the data source.

D.

Move the data to a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBS)volume attached to an Amazon EC2 instance. Point the model training application to the gp3 volume as the data source.

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