Digital Twin and Validation Quiz

This nugget focuses on evaluating the learner’s gained knowledge about model maintenance for machine learning. It employs multiple-choice, drag-and-drop, and true/false questions. Learners are expected to achieve at least a 70% grade to attain a successful completion of this quiz nugget. This evaluation explores the definition of dataset shifts, types of prediction shifts, and how they relate within a framework of model maintenance. It assesses the distinction of causes and types of model performance degradation, the definition of shift detection metrics, and the different solutions for model correction when shifts are detected.