An organization wants to implement continuous model monitoring for a production AI system. Which combination of metrics provides the MOST comprehensive coverage of model health?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because comprehensive model monitoring requires tracking data drift (changes in input distribution), prediction drift (changes in output distribution), and downstream business KPIs (whether the model is still achieving its intended business purpose). A focuses on static training metrics, not production health.
Full explanation below image
Full Explanation
B is correct because comprehensive model monitoring requires tracking data drift (changes in input distribution), prediction drift (changes in output distribution), and downstream business KPIs (whether the model is still achieving its intended business purpose). A focuses on static training metrics, not production health. C measures infrastructure, not model quality. D measures development process, not deployed model performance.