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Databricks Certified Machine Learning Professional · Databricks
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,B,C - Correct answer s : A, B, C — Both numerical columns are evaluated with the Kolmogorov-Smirnov test against the baseline distribution.; The categorical column is evaluated with the chi-squared test comparing category counts to baseline.; A lower p-value on either test indicates a more statistically significant difference from the baseline. A . Kolmogorov-Smirnov is the built-in test applied to numerical columns, so both numerical columns are evaluated with it against the baseline. B . Chi-squared is the built-in test applied to categorical columns, comparing observed category counts to the baseline distribution. C . For both tests, a lower p-value indicates the observed difference from baseline is less likely to be due to chance, meaning stronger statistical significance. D . A high p-value only means the test failed to find statistically significant evidence of a difference; it does not guarantee there is zero practical difference, especially with a small sample. E . Kolmogorov-Smirnov operates on continuous distributions and chi-squared operates on category counts, so they are not interchangeable between column types.