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MLS-C01 · Question #299

MLS-C01 Question #299: Real Exam Question with Answer & Explanation

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Exploratory Data Analysis

Question

A machine learning (ML) specialist uploads 5 TB of data to an Amazon SageMaker Studio environment. The ML specialist performs initial data cleansing. Before the ML specialist begins to train a model, the ML specialist needs to create and view an analysis report that details potential bias in the uploaded data. Which combination of actions will meet these requirements with the LEAST operational overhead? (Choose two.)

Options

  • AUse SageMaker Clarify to automatically detect data bias
  • BTurn on the bias detection option in SageMaker Ground Truth to automatically analyze data
  • CUse SageMaker Model Monitor to generate a bias drift report.
  • DConfigure SageMaker Data Wrangler to generate a bias report.
  • EUse SageMaker Experiments to perform a data check

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Topics

#SageMaker#Data Bias Detection#Data Preparation#Exploratory Data Analysis
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