Databricks Machine Learning Professional Exam - Topic 9 Question 50 Discussion

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

Question #: 50
Topic #: 9

[All Databricks Machine Learning Professional Questions]

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 Penney at Mar 03, 2026, 03:34 PM

Limited Time Offer

25%

Off

Contribute your Thoughts:

Submit Cancel

Currently there are no comments in this discussion, be the first to comment!