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Exam DP-100 topic 5 question 29 discussion

Actual exam question from Microsoft's DP-100

Question #: 29
Topic #: 5

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

Show Suggested Answer

Suggested Answer: ABE 🗳️

by bbigwolf at Sept. 1, 2022, 6 a.m.

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phdykd

9 months, 4 weeks 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.

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meysa

10 months, 3 weeks 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.

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BTAB

11 months, 3 weeks 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, 1 month 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

11 months, 3 weeks 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.

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giusecozza

1 year, 3 months ago

on exam 09/09/2022

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bbigwolf

1 year, 3 months ago

should be ADE

upvoted 4 times

claps92

1 year, 3 months ago

no, the answer is correct

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JTWang

1 year, 1 month 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

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