Practice Building A Production Pipeline (20.3) - Deployment and Monitoring of Machine Learning Models

Practice: Building a Production Pipeline

Lesson 20.3Deployment and Monitoring of Machine Learning Models

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9 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does CI stand for in MLOps?
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Think of how code changes are managed.
Question 2.
Name one tool that can be used for Continuous Deployment.
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Recall the tools we discussed.
3Question 3.
What is Continuous Integration?
- A method of model evaluation
- A practice of testing code changes
- A deployment technique
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Focus on the definition of CI.
4Question 4.
True or False: Continuous Deployment means manual deployment of validated changes.
- True
- False
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Think about how changes are carried out in modern MLOps.
Question 5.
A team finds that their model frequently breaks after deployment. Describe how implementing CI/CD could resolve this issue.
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Focus on the benefits of automated testing and deployment.
Question 6.
Imagine a scenario where a machine learning model needs to be updated weekly. Discuss how a model registry can facilitate this process.
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Consider how version control aids in frequent updates.

5 more questions in this section. Enroll free to practise them all.