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Exam DP-100 topic 5 question 29 discussion

Actual exam question from Microsoft's DP-100
Question #: 29
Topic #: 5
[All DP-100 Questions]

You are attaching an Azure Databricks-based compute resource to an Azure Machine Learning development workspace.
You need to configure parameters to attach the resource.
Which three parameters should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Workspace name
  • B. Compute name
  • C. Workspace user credentials
  • D. Workspace resource ID
  • E. Access token
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Suggested Answer: ABE 🗳️
by bbigwolf at Sept. 1, 2022, 6 a.m.

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phdykd
8 months, 1 week ago
To attach Azure Databricks as a compute target, provide the following information: • Databricks compute name: The name you want to assign to this compute resource. • Databricks workspace name: The name of the Azure Databricks workspace. • Databricks access token: The access token used to authenticate to Azure Databricks. To generate an access token, see the Authentication document.
upvoted 1 times
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meysa
9 months ago
Selected Answer: ABE
To attach Azure Databricks as a compute target, provide the following information: Databricks compute name: The name you want to assign to this compute resource. Databricks workspace name: The name of the Azure Databricks workspace. Databricks access token: The access token used to authenticate to Azure Databricks.
upvoted 3 times
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BTAB
10 months, 1 week ago
Selected Answer: ABE
Answer is ABE - NO DOUBT - see reference below https://learn.microsoft.com/en-us/azure/machine-learning/v1/how-to-attach-compute-targets Additionally: To attach Azure Databricks as a compute target, provide the following information: Databricks compute name: The name you want to assign to this compute resource. Databricks workspace name: The name of the Azure Databricks workspace. Databricks access token: The access token used to authenticate to Azure Databricks. To generate an access token, see the Authentication document.
upvoted 4 times
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JTWang
1 year ago
Selected Answer: ADE
Constructor as blow: DatabricksAttachConfiguration(resource_group=None, workspace_name=None, resource_id=None, access_token='') https://learn.microsoft.com/en-us/python/api/azureml-core/azureml.core.compute.databricks.databricksattachconfiguration?view=azure-ml-py
upvoted 2 times
BTAB
10 months, 1 week ago
Be careful and understand the question. The answer workspace resource ID is not a parameter, and allowed resource_id is asking for the Azure resource ID for the COMPUTE resource being attached. This would tell me that the Compute Name is equal to the resource ID and not that the Workspace Resource ID (which is not a parameter). Parameters resource_group str default value: None The name of the resource group in which the Databricks is located. workspace_name str default value: None The Databricks workspace name. resource_id str default value: None The Azure resource ID for the compute resource being attached. access_token str Required The access token for the resource being attached.
upvoted 2 times
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giusecozza
1 year, 1 month ago
on exam 09/09/2022
upvoted 1 times
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bbigwolf
1 year, 2 months ago
should be ADE
upvoted 4 times
claps92
1 year, 1 month ago
no, the answer is correct
upvoted 1 times
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JTWang
1 year ago
Agree ADE. Constructor as blow: DatabricksAttachConfiguration(resource_group=None, workspace_name=None, resource_id=None, access_token='') https://learn.microsoft.com/en-us/python/api/azureml-core/azureml.core.compute.databricks.databricksattachconfiguration?view=azure-ml-py
upvoted 1 times
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