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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 why we check model performance.
Question 2
Easy
Name a tool for monitoring model performance.
💡 Hint: Consider tools commonly used in data science.
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 key issue does model monitoring address?
- Data drift
- Overfitting
- Bias in data
💡 Hint: Focus on the changes that happen after model deployment.
Question 2
True or False: Automation tools can only alert when there are errors in models.
- True
- False
💡 Hint: Consider what continuous monitoring can accomplish.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Imagine your customer's purchasing patterns change drastically over time. How would you ensure your recommendation model remains effective?
💡 Hint: Consider the relationship between user behavior data and recommendations.
Question 2
You discover that your model's accuracy has dropped from 90% to 75%. How would you investigate and address this issue?
💡 Hint: Think about the data and environment changes that could affect model accuracy.
Challenge and get performance evaluation