Azure DevOps for ML Projects Quiz

5 questions • Pass: 70% • +25 pts

Quiz covering CI/CD for ML

Azure DevOps for ML Projects Quiz

5 questions | Pass: 70% | Earn 25 points

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

  1. 1

    In an Azure DevOps pipeline for ML, which component is primarily responsible for triggering a new build when code is pushed to the repository?

  2. 2

    When implementing Continuous Training (CT) in Azure DevOps, why is it recommended to store model artifacts in Azure Machine Learning Model Registry rather than raw binary storage?

  3. 3

    What is the primary purpose of a 'Service Connection' in Azure DevOps when deploying an ML model to Azure Kubernetes Service (AKS)?

  4. 4

    You are configuring a CI pipeline that needs to run automated unit tests on data processing scripts. Which Azure DevOps feature allows you to execute these tests on a machine with specific Python dependencies pre-installed?

  5. 5

    In a complex MLOps pipeline, you need to ensure that a model is only deployed to production after passing a manual validation check by the Data Science lead. Which Azure DevOps mechanism is best suited for this?