MLS-C01 · Question #72
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 forma
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Question
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?
Options
- AUse the SageMaker batch transform feature to transform the training data into a DataFrame.
- BUse AWS Glue to compress the data into the Apache Parquet format.
- CTransform the dataset into the RecordIO protobuf format.
- DUse the SageMaker hyperparameter optimization feature to automatically optimize the data.
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