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Amazon Web Services AWS Certified Machine Learning Engineer - Associate MLA-C01 Question # 2 Topic 1 Discussion

Amazon Web Services AWS Certified Machine Learning Engineer - Associate MLA-C01 Question # 2 Topic 1 Discussion

MLA-C01 Exam Topic 1 Question 2 Discussion:
Question #: 2
Topic #: 1

An ML engineer wants to run a training job on Amazon SageMaker AI. The training job will train a neural network by using multiple GPUs. The training dataset is stored in Parquet format.

The ML engineer discovered that the Parquet dataset contains files too large to fit into the memory of the SageMaker AI training instances.

Which solution will fix the memory problem?


A.

Attach an Amazon Elastic Block Store (Amazon EBS) Provisioned IOPS SSD volume to the instance. Store the files in the EBS volume.


B.

Repartition the Parquet files by using Apache Spark on Amazon EMR. Use the repartitioned files for the training job.


C.

Change the instance type to Memory Optimized instances with sufficient memory for the training job.


D.

Use the SageMaker AI distributed data parallelism (SMDDP) library with multiple instances to split the memory usage.


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