Answer: Run Python code that uses the Azure ML SDK library and calls the Workspace.create method with name, subscription_id, and resource_group parameters., Navigate to Azure Machine Learning studio and create a workspace., Use the Azure Command Line Interface (CLI) with the Azure Machine Learning extension to call the az group create function with --name and --location parameters, and then the az ml workspace create function, specifying ג€"w and ג€"g parameters for the workspace name and resource group.

The question asks for three methods to create an Azure Machine Learning workspace in a new subscription with no resources. Based on the community discussion and official Microsoft documentation, the correct methods are: A (Python SDK using Workspace.create), B (Azure Machine Learning studio), and C (Azure CLI with ML extension). Option A is valid because Workspace.create can create a workspace and optionally create the resource group if it doesn't exist (using create_resource_group=True). Option B is correct as Azure ML studio provides a point-and-click interface for workspace creation. Option C is correct as the Azure CLI commands can create both the resource group and workspace. Option D is a duplicate of B and should not be counted separately. Option E is incorrect because Workspace.get retrieves an existing workspace but cannot create a new one. The community consensus, with high upvotes for ABC (60%) and support from multiple users citing official documentation, confirms these as the three valid methods.

Author: LeetQuiz Editorial Team