Practice Scalability & Systems (12) - Scalability & Systems - Advance Machine Learning
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Scalability & Systems

Practice - Scalability & Systems

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define scalability in the context of machine learning.

💡 Hint: Think about how systems can grow.

Question 2 Easy

What is the main difference between horizontal and vertical scaling?

💡 Hint: Consider the difference in physical expansion.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is scalability in machine learning?

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

💡 Hint: Consider how systems adapt to growth.

Question 2

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

True
False

💡 Hint: Think about the definition of vertical.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Consider each aspect of the data lifecycle.

Challenge 2 Hard

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

💡 Hint: Think about user data management and privacy balance.

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Reference links

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