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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 what happens after training a model.
Question 2
Easy
Name a type of inference that processes data in real time.
💡 Hint: This is different from batch processing.
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 model deployment?
- A process of training models
- Integrating models into production
- Storing models in a database
💡 Hint: Think about what happens after a model is trained.
Question 2
True or False: Online inference processes data in batches at scheduled times.
- True
- False
💡 Hint: Recall the definition of online inference.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a deployment strategy for a new machine learning model that predicts customer churn in a retail application. Consider aspects like data flow, user access, and monitoring.
💡 Hint: Think about each step in terms of production use to ensure system effectiveness.
Question 2
Evaluate the pros and cons of online vs. batch inference in the context of a healthcare application that analyzes patient data.
💡 Hint: Consider the application needs against data processing limitations.
Challenge and get performance evaluation