Azure Machine Learning Workspace Quiz

What you'll be asked

1. Which of the following is the top-level resource in Azure Machine Learning used to organize and manage all your machine learning assets, such as models, experiments, and compute?
2. When creating an Azure Machine Learning workspace, which of the following dependent Azure resources is automatically created to store logs, metrics, and model artifacts?
3. You are setting up an MLOps environment and need to ensure that the Azure Machine Learning workspace is not accessible from the public internet. Which feature should you implement?
4. What is the primary role of the Azure Container Registry (ACR) when integrated with an Azure Machine Learning workspace?
5. You need to automate the provisioning of an Azure Machine Learning workspace across multiple environments (Dev, Test, Prod). Which approach is considered the best practice for MLOps infrastructure as code?

Answers and explanations come after you submit.