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Databricks Machine Learning Professional Exam - Topic 5 Question 51 Discussion
Databricks Machine Learning Professional Exam - Topic 5 Question 51 Discussion
Actual exam question for Databricks's Databricks Machine Learning Professional exam
Question #: 51
Topic #: 5
[All Databricks Machine Learning Professional Questions]
Which of the following describes concept drift?
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
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Suggested Answer:
D
by
Tanja
at
Apr 02, 2026, 01:21 AM
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Leslie
4 days ago
I feel like I’ve seen a question like this before, and it was about how the model's predictions change over time. Maybe it’s D?
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Tran
9 days ago
I remember something about input and target distributions changing, but I'm not sure if that's A or B.
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Glenna
14 days ago
I think concept drift has to do with changes in the relationship between inputs and outputs, so I might lean towards C.
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Leslie
4 days agoTran
9 days agoGlenna
14 days ago