20.4.2 - What to Monitor
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Practice Questions
Test your understanding with targeted questions
What is data drift?
💡 Hint: Think about how new data can differ from the training data.
Name one performance metric you should monitor.
💡 Hint: Consider how we measure model correctness.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of monitoring predictions?
💡 Hint: Consider why tracking model outputs is vital.
True or False: Continuous monitoring can detect data drift.
💡 Hint: Think about how data patterns can change.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Design a monitoring plan for a newly deployed model that must operate in a dynamic environment. What factors will you include in your plan?
💡 Hint: Consider all elements discussed about monitoring.
Analyze the potential challenges of monitoring model performance in a high-volume application. What strategies can mitigate these challenges?
💡 Hint: Think about the scale and ways to manage data effectively.
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