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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is model deployment?
💡 Hint: Think about how models interact with real-time data.
Question 2
Easy
Name one advantage of using containers for model deployment.
💡 Hint: Consider the benefits of separation.
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 does 'model deployment' refer to in machine learning?
- Integrating model for predictions
- Training a model
- Testing a model
💡 Hint: Think about the process of making a model usable in the field.
Question 2
True or False: Data drift can affect model performance.
- True
- False
💡 Hint: Consider how changing conditions can impact predictions.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have deployed a model to predict customer churn, but its accuracy has dropped in recent months. Describe how you would identify the cause and address it.
💡 Hint: Reflect on how external factors could change customer behavior.
Question 2
If you are running a batch inference system for an e-commerce website where customer behavior changes frequently, how would you modify the pipeline to enhance performance?
💡 Hint: Think about the timing and frequency of data updates.
Challenge and get performance evaluation