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Exam DY0-001 topic 1 question 82 discussion

Actual exam question from CompTIA's DY0-001
Question #: 82
Topic #: 1
[All DY0-001 Questions]

A data scientist is analyzing a data set with categorical features and would like to make those features more useful when building a model. Which of the following data transformation techniques should the data scientist use? (Choose two.)

  • A. Normalization
  • B. One-hot encoding
  • C. Linearization
  • D. Label encoding
  • E. Scaling
  • F. Pivoting
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Suggested Answer: BD 🗳️
by SuntzuLegacy at May 20, 2025, 12:11 a.m.

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SuntzuLegacy
1 month, 3 weeks ago
Selected Answer: BD
The two standard approaches for converting categorical features to a form suitable for most models are: B. One-hot encoding – creating binary (dummy) variables. D. Label encoding – assigning numeric labels to categories.
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