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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #89

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #89: Real Exam Question with Answer & Explanation

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

Question

You are creating a deep neural network classification model using a dataset with categorical input values. Certain columns have a cardinality greater than 10,000 unique values. How should you encode these categorical values as input into the model?

Options

  • AConvert each categorical value into an integer value.
  • BConvert the categorical string data to one-hot hash buckets.
  • CMap the categorical variables into a vector of boolean values.
  • DConvert each categorical value into a run-length encoded string.

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Topics

#Categorical Encoding#Feature Engineering#High Cardinality#Deep Learning Inputs
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