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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is model deployment in machine learning?
💡 Hint: Think about what happens after a model is trained.
Question 2
Easy
Name the three deployment scenarios discussed.
💡 Hint: Consider the ways predictions can be made based on data availability.
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 process of integrating a machine learning model into production called?
- Training
- Monitoring
- Deployment
💡 Hint: Think about what happens after the model is 'trained'.
Question 2
True or False: Edge deployment can only happen on high-performance servers.
- True
- False
💡 Hint: Consider the limitations of devices in edge scenarios.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a deployment strategy for a new real-time traffic prediction model. What are the steps and considerations?
💡 Hint: Consider how data will be presented and interacted with by users.
Question 2
Discuss potential issues that arise with batch inference and how to mitigate them.
💡 Hint: Think about the risks of using old data.
Challenge and get performance evaluation