Practice Scalable Model Deployment And Inference (12.6) - Scalability & Systems
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Scalable Model Deployment and Inference

Practice - Scalable Model Deployment and Inference

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is batch inference?

💡 Hint: Think about processing data all at once versus one by one.

Question 2 Easy

What is load balancing?

💡 Hint: Consider how traffic is directed to avoid congestion.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main purpose of load balancing?

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

💡 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

💡 Hint: Recall what A/B testing is typically utilized for.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Consider the necessary components for data processing and user interaction.

Challenge 2 Hard

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

💡 Hint: Think about what factors are critical for improving online shopping.

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Reference links

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