Practice - Case Studies in Scalable ML Systems
Practice Questions
Test your understanding with targeted questions
What does TFX stand for?
💡 Hint: Think about the full name of the framework.
What is one feature of Michelangelo?
💡 Hint: Consider what aspects of ML can be automated.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does TFX stand for?
💡 Hint: Think about the purpose of the framework.
True or False: Michelangelo includes features for A/B testing.
💡 Hint: Review what aspects of ML deployment are considered in Michelangelo.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design a scalable ML pipeline using TFX for a hypothetical e-commerce platform. Outline the key components and describe their functions.
💡 Hint: Think about the specific stages of ML from data collection to model deployment.
Evaluate a scenario where a model deployed via Michelangelo starts showing performance issues. How would you utilize A/B testing to address this?
💡 Hint: Consider how you would gather and analyze user interactions over time while deploying both models.
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Reference links
Supplementary resources to enhance your learning experience.