Databricks Certified Machine Learning Professional — Question 48

Which of the following is a simple, low-cost method of monitoring numeric feature drift?

Answer options

• A. Jensen-Shannon test
• B. Summary statistics trends
• C. Chi-squared test
• D. None of these can be used to monitor feature drift
• E. Kolmogorov-Smirnov (KS) test

Correct answer: B

Explanation

Summary statistics trends provide a straightforward approach to observe changes in numeric features by analyzing measures like mean and variance over time. The other options, such as the Jensen-Shannon test and Chi-squared test, are more complex and not specifically designed for monitoring feature drift.