Stuck on DP-100 lab work.

Question

I am just starting to prep for DP 100 and hit a wall.

https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/02-Explore-developer-tools.html

I am following this instruction to a T. When I create a work space on step 8, I get this error.

{"code":"DeploymentFailed","message":"At least one resource deployment operation failed. Please list deployment operations for details. Please see https://aka.ms/arm-deployment-operations for usage details.","details":[{"code":"FailedIdentityOperation","message":"Identity operation for resource '/subscriptions/f19e0d72-6bce-4c0f-8f4f-b9b708e1fe55/resourceGroups/rg-dp100-labs/providers/Microsoft.MachineLearningServices/workspaces/mlw-dp100-labs' failed with error 'Failed to perform resource identity operation. Status: 'BadRequest'. Response: '{"error":{"code":"BadRequest","message":""}}'.'."}]}

I am currently on the free $200 credit. Any help would be greatly appreciated.

Answer 1

Hi Henry Jiang,

Thank you for reaching out to Microsoft Q & A forum.  

It looks like the issue you’re encountering may be related to managed identities within your Azure subscription, particularly considering the limitations of the free tier. Here are some steps that should help resolve the problem: 

1.Free tier restrictions: Free-tier subscriptions can have limitations on certain resources, including managed identities. Please verify if this could be affecting your deployment. 

2.Regional limitations: Some regions have quota restrictions that might be impacting the deployment. Try switching to a different region (e.g., eastus2 or westus) to see if the issue is region-specific. 

3.Permissions: Make sure you have the appropriate permissions (Owner or Contributor role) for assigning managed identities. This is essential for successful deployment. 

4.Identity operations: Since the error points to an identity-related issue, ensure that your account has the necessary permissions to perform identity-related tasks. 

5.Register resource providers: In the Azure portal, navigate to Subscriptions, select your subscription, go to Resource providers, and confirm that Microsoft.MachineLearningServices and Microsoft.ManagedIdentity are registered. If they are not, register them. 

6.Quota limits: Check your subscription’s quotas for machine learning services and managed identities in the Azure portal to confirm you haven’t exceeded the limits. 

7.Manual workspace creation: If the issue persists, try manually creating the Azure Machine Learning workspace through the Azure portal. This will allow you to interactively monitor and configure settings at each step. 

We also attempted to reproduce the issue but did not encounter any problems. For your reference, we have attached a screenshot below. 

For further details, you may also refer to the following resource: 

DeploymentFailed - InaccessibleImage error code. 
Please feel free to contact us if you have any additional questions.    

If you have found the answer provided to be helpful, please click on the "Accept answer/Upvote" button so that it is useful for other members in the Microsoft Q&A community.       

Thank you.