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MLS-C01 · Question #197

MLS-C01 Question #197: Real Exam Question with Answer & Explanation

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Machine Learning Implementation and Operations

Question

A machine learning (ML) specialist wants to create a data preparation job that uses a PySpark script with complex window aggregation operations to create data for training and testing. The ML specialist needs to evaluate the impact of the number of features and the sample count on model performance. Which approach should the ML specialist use to determine the ideal data transformations for the model?

Options

  • AAdd an Amazon SageMaker Debugger hook to the script to capture key metrics. Run the
  • BAdd an Amazon SageMaker Experiments tracker to the script to capture key metrics. Run
  • CAdd an Amazon SageMaker Debugger hook to the script to capture key parameters. Run
  • DAdd an Amazon SageMaker Experiments tracker to the script to capture key parameters.

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Topics

#SageMaker Experiments#Experiment Tracking#Data Transformation#Model Evaluation
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