20 - Deployment and Monitoring of Machine Learning Models
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Practice Questions
Test your understanding with targeted questions
What is model deployment?
💡 Hint: Think about how models interact with real-time data.
Name one advantage of using containers for model deployment.
💡 Hint: Consider the benefits of separation.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does 'model deployment' refer to in machine learning?
💡 Hint: Think about the process of making a model usable in the field.
True or False: Data drift can affect model performance.
💡 Hint: Consider how changing conditions can impact predictions.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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