You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: articles/machine-learning/how-to-configure-private-link.md
+4Lines changed: 4 additions & 0 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -310,6 +310,10 @@ You can also enable public network access by using a YAML file. For more informa
310
310
311
311
You can use IP network rules to allow access to your workspace and endpoint from specific public internet IP address ranges by creating IP network rules. Each Azure Machine Learning workspace supports up to 200 rules. These rules grant access to specific internet-based services and on-premises networks and block general internet traffic.
312
312
313
+
> [!IMPORTANT]
314
+
> * Before creating a compute instance in an Azure Machine Learning workspace with a selected IP address, ensure that your workspace has network isolation configured using a [workspace-managed virtual network](how-to-managed-network.md) OR [Add a private endpoint to your workspace in your own virtual network](how-to-configure-private-link.md#add-a-private-endpoint-to-a-workspace).
315
+
> * Configuring only the selected IP without enabling a managed virtual network or a Private endpoint for the workspace can lead to failures while provisioning the compute instance.
316
+
313
317
> [!WARNING]
314
318
> * Enable your endpoint's [public network access flag](concept-secure-online-endpoint.md#secure-inbound-scoring-requests) if you want to allow access to your endpoint from specific public internet IP address ranges.
0 commit comments