Answer-first summary for fast verification
Answer: No
The solution does NOT meet the goal because the Workspace.get() method is used incorrectly. According to the Azure ML documentation and the community discussion consensus (with 80% selecting 'No' and the highest upvoted comments supporting this), the Workspace.get() method requires only the workspace name parameter when retrieving an existing workspace. The subscription_id and resource_group parameters are not needed for the get() method - they are required parameters for the Workspace constructor when creating a new workspace. The correct approach would be either: `ws = Workspace.get(name='ml-project')` or using the from_config() method. The provided code includes unnecessary parameters that will cause the method to fail or behave unexpectedly.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You have the following Azure subscriptions and Azure Machine Learning service workspaces:
8a12e3a1-fb6c-4ccd-bd84-27b8a12e3fbcml-projectml-resourcesYou need to obtain a reference to the ml-project workspace.
Solution: Run the following Python code:
from azureml.core import Workspace
ws = Workspace.get(name='ml-project',
subscription_id='8a12e3a1-fb6c-4ccd-bd84-27b8a12e3fbc',
resource_group='ml-resources')
from azureml.core import Workspace
ws = Workspace.get(name='ml-project',
subscription_id='8a12e3a1-fb6c-4ccd-bd84-27b8a12e3fbc',
resource_group='ml-resources')
Does the solution meet the goal?
A
Yes
B
No
No comments yet.