Databricks Exam Databricks-Machine-Learning-Professional Topic 2 Question 39 Discussion

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

Question #: 39
Topic #: 2

[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 Vallie at May 05, 2025, 06:16 PM

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