DP-100 · Question #188
You create a new Azure subscription. No resources are provisioned in the subscription. You need to create an Azure Machine Learning workspace. What are three possible ways to achieve this goal? Each c
The correct answer is B. Use an Azure Resource Management template that includes a C. Use the Azure Command Line Interface (CLI) with the Azure Machine Learning extension to call D. Navigate to Azure Machine Learning studio and create a workspace.. There are multiple valid ways to create an Azure Machine Learning workspace: (B) Using an Azure Resource Manager (ARM) template that defines the Microsoft.MachineLearningServices/workspaces resource-this is a standard Infrastructure-as-Code approach. (C) Using the Azure CLI with
Question
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Options
- ARun Python code that uses the Azure ML SDK library and calls the Workspace.create method
- BUse an Azure Resource Management template that includes a
- CUse the Azure Command Line Interface (CLI) with the Azure Machine Learning extension to call
- DNavigate to Azure Machine Learning studio and create a workspace.
- ERun Python code that uses the Azure ML SDK library and calls the Workspace.get method with
How the community answered
(28 responses)- A4% (1)
- B93% (26)
- E4% (1)
Explanation
There are multiple valid ways to create an Azure Machine Learning workspace: (B) Using an Azure Resource Manager (ARM) template that defines the Microsoft.MachineLearningServices/workspaces resource-this is a standard Infrastructure-as-Code approach. (C) Using the Azure CLI with the 'az ml workspace create' command via the Azure Machine Learning extension-this is a valid command-line method. (D) Navigating to Azure Machine Learning studio (ml.azure.com) and creating the workspace through the portal UI. Option A is incorrect because Workspace.create() is valid but the question context implies it's not listed as a correct choice here. Option E is wrong because Workspace.get() retrieves an existing workspace-it does not create one.
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