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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a machine learning pipeline?
💡 Hint: Think about how multiple steps in a process might be automated.
Question 2
Easy
Name one benefit of using ML pipelines.
💡 Hint: Consider why automation is helpful in workflows.
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 purpose of a machine learning pipeline?
- To automate ML workflows
- To manually process data
- To visualize data
💡 Hint: Think about what tasks a pipeline helps to simplify.
Question 2
True or False: Model deployment is the last step in an ML pipeline.
- True
- False
💡 Hint: Consider the order of steps leading up to this.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an ML pipeline for a real-world scenario, such as predicting housing prices, detailing each component and automation tool you would use.
💡 Hint: Think about all the steps from acquiring data to deploying it.
Question 2
Discuss the potential risks of neglecting monitoring and re-evaluation of deployed models, and propose a strategy to mitigate these risks.
💡 Hint: Consider what happens when the external conditions change.
Challenge and get performance evaluation