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Databricks Machine Learning Professional Exam - Topic 9 Question 48 Discussion

Actual exam question for Databricks's Databricks Machine Learning Professional exam
Question #: 48
Topic #: 9
[All Databricks Machine Learning Professional Questions]

Which of the following describes concept drift?

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Suggested Answer: D

by Alberta at Jan 05, 2026, 05:16 AM

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Patria
3 days ago
E, none of these describe concept drift. Concept drift is about the model's performance degrading over time, not just changes in the data.
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Lucia
8 days ago
D sounds right to me. Concept drift is when the distribution of the predicted target changes, which can happen even if the input-output relationship stays the same.
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Sheron
13 days ago
I think the correct answer is C. Concept drift is when the relationship between input and target variables changes over time.
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Nadine
18 days ago
I feel like I saw something about concept drift being tied to target variable distributions. But now I'm questioning if it's really just about inputs or outputs. Maybe A or B?
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Bok
24 days ago
I vaguely recall that concept drift involves the model's predictions being affected by changes in the data. So, D might be the right answer, but I’m not confident.
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Dolores
29 days ago
I remember practicing a question about how input distributions can change, but I feel like that's not the whole picture. Could it be B instead?
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Lorean
1 month ago
I think concept drift is related to changes in the relationship between inputs and outputs, so maybe it's C? But I'm not entirely sure.
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Ruthann
1 month ago
Ah yes, concept drift - a key challenge in deploying ML models in the real world. I'm pretty sure it's about changes in the relationship between inputs and outputs over time, so I'll select C.
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Malissa
1 month ago
I'm not totally confident on this one. The wording of the options is a bit tricky. I'm leaning towards B or C, but I'll have to re-read the explanations to make sure I understand the nuances between them.
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Willie
2 months ago
Okay, I've seen this concept of concept drift before in my machine learning classes. I'm pretty sure it's about changes in the underlying data distribution, not just the input or output variables individually. So I'll go with option C.
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Adelaide
2 months ago
Hmm, I'm a bit confused on this one. I know concept drift has to do with changes over time, but I'm not sure if it's specifically about the input variables, target variables, or the model predictions. I'll have to think this through carefully.
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Vince
2 months ago
I think C is the best answer here. Concept drift is about changes in the underlying relationships between inputs and outputs, not just changes in the distributions.
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