Not able to create the workspace with the command az ml workspace create --name "mlw-dp100-labs" -g "rg-dp100-labs"

Hello!

I am following the following learning path: https://learn.microsoft.com/en-us/training/modules/explore-developer-tools-for-workspace-interaction/?WT.mc_id=cloudskillschallenge_764de7ca-8b6d-4b3a-a491-1942af389d8c

but when I want to reply this instruction from the lab: https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/02-Explore-developer-tools.html#create-a-compute-cluster-with-the-azure-cli

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I have issues, as you can see in the next screenshot:

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Please, tell me what can I do to solve it?

Best,

Fernando

anand 225 Reputation points

2024-04-04T00:46:37.2033333+00:00

Hi Carlos Fernando Aguilar González ,

I have a Azure ML workspace in "East US" using only private IP addresses. Whenever I request a new compute instance I receive the below error. I tried with the studio web page and powershell. Both have the same outcome. "Desired number of dedicated nodes could not be allocated"

This error message usually occurs when there are not enough resources available in the region to fulfill your request.

Since you are using only private IP addresses, it is possible that the issue is related to the virtual network configuration. Please make sure that your virtual network is properly configured to allow the creation of compute instances. You can check the virtual network configuration by going to the Azure portal and navigating to your virtual network.

Also, please make sure that you have enough quota for the instance size in the region where you are trying to create the compute instance. You can check your quota by going to the Azure portal and navigating to the "Usage + quotas" section of your subscription.

It's also worth noting that when you create a compute instance in a workspace with a private endpoint, the compute instance and compute cluster must be in the same Azure region as the workspace.

please check the Limitations when Configuring a private endpoint for an Azure Machine Learning workspace

I hope this helps. Do let know if you have any further questions or concerns.
anand 225 Reputation points

2024-04-04T00:51:28.8966667+00:00
Hi Carlos Fernando Aguilar González ,

Thanks for using Microsoft Q&A platform, it seems you are working on V2 and you want to do workspace sharing, but there are some changes between CLI V1 and V2.

To migrate from Azure Machine Learning V1 to V2, you need to upgrade az ml workspace share commands to equivalent az role assignment create commands.

Please refer to here - https://learn.microsoft.com/en-us/cli/azure/role/assignment?view=azure-cli-latest#az-role-assignment-create Create a new role assignment for a user, group, or service principal.

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az role assignment create --role [--assignee] [--assignee-object-id] [--assignee-principal-type {ForeignGroup, Group, ServicePrincipal, User}] [--condition] [--condition-version] [--description] [--name] [--resource-group] [--scope]

There are some examples for how to use it here for your reference - https://learn.microsoft.com/en-us/cli/azure/role/assignment?view=azure-cli-latest#az-role-assignment-create-examples

-Please kindly accept the answer if you feel helpful to support the community, thanks a lot!
romungi-MSFT 42,286 Reputation points Microsoft Employee

2024-04-04T09:20:24.0166667+00:00

@Carlos Fernando Aguilar González Log Analytics workspace is not a resource that is required for Azure ML workspace, please see the instructions page where the dependent resources are listed. Could you please try to create the workspace from Azure portal and check if it goes through? Thanks!!