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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is model monitoring?
💡 Hint: Think about how we check if something is working correctly.
Question 2
Easy
What does data drift mean?
💡 Hint: Consider how different data might affect outcomes.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main goal of model monitoring?
- To track data collection
- To maintain performance post-deployment
- To enhance training accuracy
💡 Hint: Think about how we maintain software systems.
Question 2
True or False: Anomaly detection is not a part of model monitoring.
- True
- False
💡 Hint: Reflect on how we identify unexpected behavior.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Develop a strategy for addressing data drift in a deployed model. What steps would you include to ensure performance is maintained?
💡 Hint: Think about how often the data can change in real-world applications.
Question 2
How would you implement a shadow deployment strategy for a new recommendation algorithm in an online store?
💡 Hint: Consider what metrics would be important to track for success.
Challenge and get performance evaluation