A Machine Learning Specialist Is Preparing Data for Training on Amazon

question 135

Multiple Choice

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. Transform the dataset into the RecordIO protobuf format.
• D) Use the SageMaker hyperparameter optimization feature to automatically optimize the data.

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