Databricks Certified Machine Learning Professional — Question 34

Which of the following describes concept drift?

Answer options

• A. Concept drift is when there is a change in the distribution of an input variable
• B. Concept drift is when there is a change in the distribution of a target variable
• C. Concept drift is when there is a change in the relationship between input variables and target variables
• D. Concept drift is when there is a change in the distribution of the predicted target given by the model
• E. None of these describe Concept drift

Correct answer: C

Explanation

The correct answer is C, as concept drift specifically refers to a shift in the relationship between input and target variables over time. Options A and B describe changes in distributions of input and target variables, respectively, which do not capture the essence of concept drift. Option D relates to the predicted target but does not encompass the relationship aspect that defines concept drift.