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Question 90 - DP-100 discussion

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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 correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.
Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.
Answers
A.
Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.
B.
Navigate to Azure Machine Learning studio and create a workspace.
Answers
B.
Navigate to Azure Machine Learning studio and create a workspace.
C.
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 -w and - gparameters for the workspace name and resource group.
Answers
C.
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 -w and - gparameters for the workspace name and resource group.
D.
Navigate to Azure Machine Learning studio and create a workspace.
Answers
D.
Navigate to Azure Machine Learning studio and create a workspace.
E.
Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.
Answers
E.
Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.
Suggested answer: B, C, D

Explanation:

B: You can create a workspace in the Azure Machine Learning studio

C: You can create a workspace for Azure Machine Learning with Azure CLI

Install the machine learning extension.

Create a resource group: az group create --name <resource-group-name> --location <location>

To create a new workspace where the services are automatically created, use the following command: az ml workspace create -w <workspace-name> -g <resource-group-name>

D: You can create and manage Azure Machine Learning workspaces in the Azure portal.

1. Sign in to the Azure portal by using the credentials for your Azure subscription.

2. In the upper-left corner of Azure portal, select + Create a resource.

3. Use the search bar to find Machine Learning.

4. Select Machine Learning.

5. In the Machine Learning pane, select Create to begin.

Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-workspace-template

https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace-cli

https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace

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asked 02/10/2024
JAVIER MALDONADO
31 questions
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