Practice Scalability & Systems - 12 | 12. Scalability & Systems | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define scalability in the context of machine learning.

πŸ’‘ Hint: Think about how systems can grow.

Question 2

Easy

What is the main difference between horizontal and vertical scaling?

πŸ’‘ Hint: Consider the difference in physical expansion.

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 scalability in machine learning?

  • The ability to handle increased workload
  • The complexity of a model
  • The size of a dataset

πŸ’‘ Hint: Consider how systems adapt to growth.

Question 2

True or False: Vertical scaling is about adding additional machines to a system.

  • True
  • False

πŸ’‘ Hint: Think about the definition of vertical.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a scalable machine learning architecture for a recommendation system that deals with billions of users. Explain the components needed for handling large data!

πŸ’‘ Hint: Consider each aspect of the data lifecycle.

Question 2

Critically evaluate the benefits and drawbacks of using federated learning versus traditional centralized learning for a mobile application's user data.

πŸ’‘ Hint: Think about user data management and privacy balance.

Challenge and get performance evaluation