Practice Scalable Model Deployment and Inference - 12.6 | 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

What is batch inference?

πŸ’‘ Hint: Think about processing data all at once versus one by one.

Question 2

Easy

What is load balancing?

πŸ’‘ Hint: Consider how traffic is directed to avoid congestion.

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 main purpose of load balancing?

  • To process data in batches
  • To distribute requests evenly
  • To increase model complexity

πŸ’‘ Hint: Think about how traffic would flow in a system.

Question 2

True or False: A/B testing can be used to assess user engagement with new features.

  • True
  • False

πŸ’‘ Hint: Recall what A/B testing is typically utilized for.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a model serving architecture for a weather forecasting application that requires both batch and real-time inference.

πŸ’‘ Hint: Consider the necessary components for data processing and user interaction.

Question 2

Propose an experiment using A/B testing to improve user experience on a shopping website.

πŸ’‘ Hint: Think about what factors are critical for improving online shopping.

Challenge and get performance evaluation