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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #280

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #280: Real Exam Question with Answer & Explanation

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Submitted by mike_84· Apr 18, 2026Data processing and feature engineering

Question

You are developing a model to help your company create more targeted online advertising campaigns. You need to create a dataset that you will use to train the model. You want to avoid creating or reinforcing unfair bias in the model. What should you do? (Choose two.)

Options

  • AInclude a comprehensive set of demographic features
  • BInclude only the demographic groups that most frequently interact with advertisements
  • CCollect a random sample of production traffic to build the training dataset
  • DCollect a stratified sample of production traffic to build the training dataset
  • EConduct fairness tests across sensitive categories and demographics on the trained model

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Topics

#Bias Mitigation#Dataset Creation#Stratified Sampling#Fairness
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