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Databricks Machine Learning Professional Exam - Topic 7 Question 56 Discussion

Which of the following describes concept drift?
D) Concept drift is when there is a change in the distribution of the predicted target given by the model
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
E) None of these describe Concept drift

Databricks Machine Learning Professional Exam - Topic 7 Question 56 Discussion

Actual exam question for Databricks's Databricks Machine Learning Professional exam
Question #: 56
Topic #: 7
[All Databricks Machine Learning Professional Questions]

Which of the following describes concept drift?

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Suggested Answer: D

by Ettie at Jun 18, 2026, 01:33 PM

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Adaline
22 days ago
A seems too narrow. Concept drift is broader than just inputs.
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Craig
27 days ago
I’m leaning towards B. Target variable changes seem crucial.
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Angelo
1 month ago
I think C is the best answer. It covers the relationship change.
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Huey
1 month ago
Not sure if I buy that definition of concept drift.
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Loren
1 month ago
A and B are kinda related too, though.
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Carman
2 months ago
Wait, isn't it more about the input variables?
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Mi
2 months ago
Totally agree with C!
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Major
2 months ago
C is the right answer!
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Celestina
2 months ago
I feel like none of these options fully capture what concept drift means, but I can't quite recall the details. Maybe E?
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Marcos
2 months ago
I practiced a question similar to this, and I think concept drift specifically refers to how the model's predictions change over time, which might be D.
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Crista
2 months ago
I remember something about input and target distributions changing, but I'm not sure if that's the same as concept drift.
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Ivory
3 months ago
I think concept drift is related to changes in the relationship between inputs and outputs, so I might lean towards C.
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