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Amazon Web Services AWS Certified Machine Learning - Specialty MLS-C01 Question # 88 Topic 9 Discussion

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Amazon Web Services AWS Certified Machine Learning - Specialty MLS-C01 Question # 88 Topic 9 Discussion

MLS-C01 Exam Topic 9 Question 88 Discussion:
Question #: 88
Topic #: 9

A machine learning specialist is preparing data for training on Amazon SageMaker. The specialist is using one of the SageMaker built-in algorithms for the training. The dataset is stored in .CSV format and is transformed into a numpy.array, which appears to be negatively affecting the speed of the training.

What should the specialist do to optimize the data for training on SageMaker?
A.

Use the SageMaker batch transform feature to transform the training data into a DataFrame.

B.

Use AWS Glue to compress the data into the Apache Parquet format.

C.

Transform the dataset into the RecordIO protobuf format.

D.

Use the SageMaker hyperparameter optimization feature to automatically optimize the data.

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Actual exam question for Amazon Web Services MLS-C01 exam by Rogue4173 at Aug 3, 2025, 12:00:00 AM

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