Data Drift Detection Quiz

Quiz covering Model Monitoring

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   What is the primary purpose of monitoring data drift in a machine learning production system?

2. 2

   Which of the following statistical tests is commonly used to detect data drift for numerical features by comparing two probability distributions?

3. 3

   If you observe a significant drop in model accuracy but no significant change in the input data distribution, what is the most likely cause?

4. 4

   When monitoring for data drift, why is it important to define a 'reference dataset'?

5. 5

   You are monitoring a high-cardinality categorical feature. Which method is mathematically robust for detecting drift by measuring the difference between the observed frequencies and the expected frequencies?