Databricks Machine Learning Professional Exam - Topic 10 Question 54 Discussion

Actual exam question for Databricks's Databricks Machine Learning Professional exam

Question #: 54
Topic #: 10

Which of the following is a reason for using Jensen-Shannon (JS) distance over a Kolmogorov-Smirnov (KS) test for numeric feature drift detection?

AAll of these reasons

BJS is not normalized or smoothed

CNone of these reasons

DJS is more robust when working with large datasets

EJS does not require any manual threshold or cutoff determinations

Show Suggested Answer

Suggested Answer: D

by Marion at May 11, 2026, 12:50 PM

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12 days ago

I remember that JS distance is often preferred because it doesn't require manual thresholds, but I'm not sure if that's the only reason.

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