An Azure machine learning service for building and deploying models.
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In managed network settings for the AML workspace, verify all required outbound rules are active and if some are failed, expand to see the FQDN and add or approve as needed and you can also query via REST to list rule status.
In your firewall/proxy, you need to allow:
- *.api.azureml.ms, *.notebooks.azure.net
- Microsoft Entra ID endpoints (login.microsoftonline.com / login.microsoft.com / graph.microsoft.com) per your tenant
- ACR FQDN (private: *.azurecr.io via privatelink.azurecr.io)
- storage FQDNs (*.blob.core.windows.net, .dfs.core.windows.net via privatelink.)
- key vault FQDN (*.vault.azure.net via privatelink.vaultcore.azure.net)
Managed online endpoints don’t use your compute clusters as they spin their own compute so make sure that the workspace managed identity not just your cluster SA-MI has:
AcrPull on the linked ACR scope
- storage blob data reader on the artifact container
- access to key vault secrets used by the deployment