Hello:
When I create Azure ML Workspace, why I cannot use existing storage, why I have to create new one?
Any clarification will help me to educate.
Thanks
Hello:
When I create Azure ML Workspace, why I cannot use existing storage, why I have to create new one?
Any clarification will help me to educate.
Thanks
You may use an existing storage account for AZ ML Workspace. Let's know the challenge while using like that so that we will understand the issue better and to support on that well
Hello Manu:
Thanks for your reply, when i try to create new Azure ML Service, It didn't allowed me to select existing storage account - ADLS Gen2.
So i endup creating new at the time of creating (AML01).
I try to create another one (AML02) and it did allowed me to select storage account for the AML01 workspace but not the ADLS Gen2.
Thanks
Hello Manu:
I came across MS Link and it make sense.
https://docs.microsoft.com/en-us/cli/azure/ml/datastore?view=azure-cli-latest
When you create a workspace, an Azure Storage account is automatically created as an associated resource. A blob container is created in this account, and its connection information is stored as a datastore named 'workspaceblobstore'. This serves as the workspace's default datastore, and the blob container is used to store your workspace artifacts and machine learning job logs and outputs.
So this is what I experienced as mention above.
Thanks
Looks like an IAM assignment needed for the storage account.

Check it after granting the service principal with Storage Blob Data Reader access.
Thanks for your reply, I will check & let you know.
Thank you again.
I was out and will test tomorrow.
Thank you for follow-up.
Thanks
Hi,
Have you got to see the solution.
Manu, is this role assignment onto data lake possible on User too...or only for Service Principle...in this case...(since you specifically mentioned)
Yes, i tested and it worked. As i worked long time back in July, I have completely forgotten what steps i took. but thank you for your follow up.
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