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Exam DP-100 topic 2 question 52 discussion

Actual exam question from Microsoft's DP-100

Question #: 52
Topic #: 2

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.create method with name, subscription_id, and resource_group parameters.
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 ג€"w and ג€"g parameters for the workspace name and resource group.
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.

Show Suggested Answer

Suggested Answer: ABC 🗳️

by stonefl at March 19, 2021, 11:02 p.m.

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ljljljlj

Highly Voted 3 years, 6 months ago

On exam 2021/7/10 My answers: ABC Correct options: A . Run Python code that uses the Azure ML SDK library and calls the Workspace.create method with name, subscription_id, resource_group, and location parameters. B . Use an Azure Resource Management template that includes a Microsoft.MachineLearningServices/ workspaces resource and its dependencies. 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 Cw and Cg parameters for the workspace name and resource group. 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.

upvoted 39 times

JTWang

2 years, 2 months ago

My Answer:BCD A is wrong at 2022/10 The subscription_id and resource_group is not needed. D is correct. You can go to http://ml.azure.com to create a new workspace! python code: ws_basic = Workspace( name=basic_workspace_name, location="eastus", display_name="Basic workspace-example", description="This example shows how to create a basic workspace", hbi_workspace=False, tags=dict(purpose="demo"), ) ml_client.workspaces.begin_create(ws_basic)

upvoted 7 times

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PI_Team

1 year, 6 months ago

if there are no resources provisioned in the subscription, you cannot directly use Python code that calls Workspace.create method with the resource_group parameter. The resource_group parameter requires an existing resource group to be specified. So we can't use the "A" option. My Answer:BCD

upvoted 1 times

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allanm

Highly Voted 3 years, 7 months ago

I'm confused - Why is B and D the same answer option?

upvoted 14 times

andre999

3 years, 6 months ago

The D option should be : Navigate to the Azure portal and create a workspace.

upvoted 11 times

ppchar

3 years, 6 months ago

then answer is: CD

upvoted 2 times

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allanm

3 years, 7 months ago

Also noticed A & E are the same answers as well. What's going on?

upvoted 8 times

Norasit

1 year, 11 months ago

Try to look at Workspace.____ A. Workspace.create E. Workspace.get

upvoted 1 times

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Edriv

2 years ago

B or D are Azure Machine Learning Service

upvoted 1 times

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NullVoider_0

Most Recent 1 year ago

Selected Answer: ABC

Option A uses the SDK to programmatically create the workspace Option B leverages the visual interface to create the workspace Option C uses CLI commands to automatically create both resource group and workspace

upvoted 1 times

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Nadine_nm

1 year, 4 months ago

Answers should be ABD : https://learn.microsoft.com/en-us/azure/machine-learning/concept-workspace?view=azureml-api-2 Workspace management task | Portal | Studio | Python SDK |Azure CLI | VS Code Create a workspace | ✓ | ✓ | ✓ | ✓ | ✓

upvoted 1 times

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phdykd

1 year, 6 months ago

BCD. az group create --name <resource-group-name> --location <location> ws_basic = ml_client.workspaces.begin_create(ws_basic).result() print(ws_basic)

upvoted 1 times

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krishna1818

1 year, 7 months ago

Selected Answer: BC

C is a definite option, and B also seems right

upvoted 1 times

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Dilesha

1 year, 10 months ago

On Exam 17 Feb 2023

upvoted 6 times

2 years, 1 month ago

You can create a Workspace this way, but you need to include this argument: create_resource_group=True. This is why option A is wrong, there is no previous resource group and it isn't created automatically on the Worspace.create method.

upvoted 1 times

dsaz

2 years, 1 month ago

`create_resource_group=True` by default according to the docs (https://learn.microsoft.com/en-us/python/api/azureml-core/azureml.core.workspace.workspace?view=azure-ml-py#azureml-core-workspace-workspace-create). So A so be a valid option too

upvoted 3 times

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ning

2 years, 7 months ago

With the correct options, ABC no doubt!

upvoted 1 times

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DingDongSingSong

2 years, 9 months ago

Option D is a repeat

upvoted 3 times

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Thornehead

2 years, 9 months ago

Selected Answer: ABC

Use Azure portal Python SDK or Azure CLI Use Resource Manager template https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace?tabs=python

upvoted 4 times

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Thornehead

2 years, 9 months ago

Use Azure portal or Python SDK Use Azure CLI Use Resource Manager template This is from the https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace?tabs=python

upvoted 1 times

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