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Databricks Certified Machine Learning Associate Exam

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Databricks Certified Machine Learning Associate Exam Questions and Answers

Questions 1

An organization is developing a feature repository and is electing to one-hot encode all categorical feature variables. A data scientist suggests that the categorical feature variables should not be one-hot encoded within the feature repository.

Which of the following explanations justifies this suggestion?

Options:

A.  

One-hot encoding is not supported by most machine learning libraries.

B.  

One-hot encoding is dependent on the target variable's values which differ for each application.

C.  

One-hot encoding is computationally intensive and should only be performed on small samples of training sets for individual machine learning problems.

D.  

One-hot encoding is not a common strategy for representing categorical feature variables numerically.

E.  

One-hot encoding is a potentially problematic categorical variable strategy for some machine learning algorithms.