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I'm trying to manually create a compute instance with no public IP address (since it's not possible to do it with Terraform). After setting up a private Azure ML workspace following this template 201-machine-learning-moderately-secure
Terraform (and AzureRM Provider) Version
terraform v0.14.0
azurerm v2.96.0
Current Behavior
Provisioning fails with this error:
Provisioning error
The specified subnet /subscriptions/[REDACTED]/resourceGroups/[REDACTED]/providers/Microsoft.Network/virtualNetworks/[REDACTED]/subnets/snet-training-dev-westeurope has PrivateLinkServiceNetworkPolicies or PrivateEndpointNetworkPolicies enabled. Please disable them to provision cluster/instance with no public IP. Please read this document for more details: https://aka.ms/AMLPLNetPolicies
Provisioning Compute Instance with public IP address completes successfully.
Possible Solution
I have tried every combination of PrivateLinkServiceNetworkPolicies or PrivateEndpointNetworkPolicies on the training subnet. No luck!
I'm deploying the same as you and hitting a couple of errors. Most likely network related.
As of now I'm not deploying with this No Public IP option..
When I'm trying to connect to a notebook from an instance (logged on to the Jumpbox) - it complains about Kernel error and network. (even access as well)
Context (Environment)
I'm trying to manually create a compute instance with no public IP address (since it's not possible to do it with Terraform). After setting up a private Azure ML workspace following this template 201-machine-learning-moderately-secure
Terraform (and AzureRM Provider) Version
terraform v0.14.0
azurerm v2.96.0
Current Behavior
Provisioning fails with this error:
Provisioning Compute Instance with public IP address completes successfully.
Possible Solution
I have tried every combination of PrivateLinkServiceNetworkPolicies or PrivateEndpointNetworkPolicies on the training subnet. No luck!
Here's my training Subnet block
Steps to Reproduce
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