Merge pull request #221211 from vijetajo/patch-111

Update how-to-secure-training-vnet.md

Author: prmerger-automator[bot]

articles/machine-learning/how-to-secure-training-vnet.md

@@ -74,6 +74,7 @@ In this article you learn how to secure the following training compute resources
 * To create a compute cluster or instance without a public IP address (a preview feature), your workspace must use a private endpoint to connect to the VNet. For more information, see [Configure a private endpoint for Azure Machine Learning workspace](how-to-configure-private-link.md).
 * If you plan to secure the virtual network by restricting traffic, see the [Required public internet access](#required-public-internet-access) section.
 * The subnet used to deploy compute cluster/instance shouldn't be delegated to any other service. For example, it shouldn't be delegated to ACI.
+* Compute cluster/instance deployment in virtual network is not supported with Azure Lighthouse
 
 ### Azure Databricks
 
@@ -320,4 +321,4 @@ This article is part of a series on securing an Azure Machine Learning workflow.
 * [Secure the inference environment](how-to-secure-inferencing-vnet.md)
 * [Enable studio functionality](how-to-enable-studio-virtual-network.md)
 * [Use custom DNS](how-to-custom-dns.md)
-* [Use a firewall](how-to-access-azureml-behind-firewall.md)
+* [Use a firewall](how-to-access-azureml-behind-firewall.md)