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MLA-C01 · Question #222

MLA-C01 Question #222: Real Exam Question with Answer & Explanation

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Data Preparation for Machine Learning

Question

An ML engineer is building a logistic regression model to predict customer churn for subscription services. The ML engineer is using a dataset that contains two string variables: location and job_seniority_level. The location variable has 3 distinct values, and the job_seniority_level variable has over 10 distinct values. The ML engineer must perform preprocessing on the variables. Which solution will meet this requirement?

Options

  • AApply tokenization to location. Apply ordinal encoding to job_seniority_level.
  • BApply one-hot encoding to location. Apply ordinal encoding to job_seniority_level
  • CApply binning to location. Apply standard scaling to job_seniority_level.
  • DApply one-hot encoding to location. Apply standard scaling to job_seniority_level.

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Topics

#Data Preprocessing#Categorical Encoding#One-Hot Encoding#Ordinal Encoding
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