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AWS Certified Machine Learning - Specialty

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Topic 1 Question 56
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?
- Use the SageMaker batch transform feature to transform the training data into a DataFrame.
- Use AWS Glue to compress the data into the Apache Parquet format.
- Transform the dataset into the RecordIO protobuf format.
- Use the SageMaker hyperparameter optimization feature to automatically optimize the data.
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コメント(6)
- C is okay
  
  👍 19
  rsimham2021/09/21
- Anwer is C. Most Amazon SageMaker algorithms work best when you use the optimized protobuf recordIO format for the training data. https://docs.aws.amazon.com/sagemaker/latest/dg/cdf-training.html
  
  👍 13
  stamarpadar2021/10/03
- Agree with C
  
  👍 6
  PRC2021/10/20
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