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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of Michelangelo at Uber?
💡 Hint: Think about automation in processes.
Question 2
Easy
Why is feature engineering important in machine learning?
💡 Hint: Consider its impact on model accuracy.
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 Uber's Michelangelo primarily designed for?
- Data storage
- Automated training and deployment
- Database management
💡 Hint: Think about the main functions of an ML platform.
Question 2
True or False: Feature engineering is unnecessary if the initial model is already performing well.
- True
- False
💡 Hint: Consider how models can often be improved over time.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a comprehensive plan outlining how Uber could implement a new feature to handle an influx of users during peak hours while using Michelangelo.
💡 Hint: Consider the balance between resource allocation and user experience.
Question 2
Critically evaluate a potential risk associated with over-reliance on automated systems like Michelangelo in machine learning training.
💡 Hint: Think about the implications of biased data on model outcomes.
Challenge and get performance evaluation