Azure Data Scientists Associate Practice Exam

What does the command az ml workspace create -w $workspaceName accomplish?

1. It deploys a machine learning model

2. It creates a new ML workspace

3. It updates an existing workspace

4. It lists all available workspaces

The correct answer is: It creates a new ML workspace

The command az ml workspace create -w $workspaceName is used specifically to create a new machine learning workspace in Azure. This workspace serves as a centralized resource for managing data, associated compute resources, and the machine learning projects within it. By executing this command, a user is able to define the scope of their machine learning activities, enabling efficient organization and collaboration on projects. Creating a new ML workspace is crucial as it lays the foundational infrastructure needed for data scientists to conduct experiments, manage datasets, and deploy models. The workspace provides a structured environment where models can be trained, tested, and deployed using various Azure ML services, making it a vital part of the machine learning lifecycle on the Azure platform. In contrast, deploying a model, updating an existing workspace, and listing workspaces pertain to other management tasks that do not involve the creation of a new workspace. Thus, the command's primary function is the establishment of a new machine learning workspace, which is why the provided answer focuses on this aspect.