Practice CI/CD for Machine Learning - 14.6 | 14. Machine Learning Pipelines and Automation | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does CI stand for in the context of CI/CD?

💡 Hint: Think about how we integrate code regularly.

Question 2

Easy

Name one tool used for automated testing in ML.

💡 Hint: This is often associated with continuous integration.

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 does CI in CI/CD represent?

  • Continuous Integration
  • Continuous Improvement
  • Code Integration

💡 Hint: It’s the first part of the CI/CD acronym.

Question 2

True or False: Model validation checks if performance metrics are met.

  • True
  • False

💡 Hint: Think about what happens before deployment.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a CI/CD pipeline for a hypothetical ML model predicting housing prices. Outline the components involved.

💡 Hint: Think about each aspect of the pipeline we discussed.

Question 2

Explain how you would apply CI/CD principles to solve a problem with a model that starts to degrade after several months in production.

💡 Hint: Focus on the feedback loop aspect and continuous learning.

Challenge and get performance evaluation