Practice Cloud-Based MLOps - 15.7 | 15. Cloud Computing in Data Science (AWS,Azure, GCP) | Data Science Advance
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Cloud-Based MLOps

15.7 - Cloud-Based MLOps

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does MLOps stand for?

💡 Hint: Consider what operations might be associated with machine learning.

Question 2 Easy

Which cloud platform uses SageMaker?

💡 Hint: Think about the major cloud providers.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does MLOps stand for?

Machine Learning Operations
Modified Learning Operations
Machine Learning Optimization

💡 Hint: Think about operations related to ML.

Question 2

True or False: Continuous Integration helps in automating deployment processes.

True
False

💡 Hint: Consider what continuous integration implies.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Discuss how you could implement a model drift detection system in a cloud environment using MLOps.

💡 Hint: Consider how cloud tools can facilitate real-time data processing and alerts.

Challenge 2 Hard

How would you reconcile the need for frequent updates in MLOps while ensuring system stability?

💡 Hint: Think about the balance between innovation and reliability in deployment.

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Reference links

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