creating include file for preview note

Author: msakande

articles/machine-learning/concept-secure-online-endpoint.md

@@ -20,8 +20,7 @@ ms.date: 08/15/2023
 
 When deploying a machine learning model to a managed online endpoint, you can secure communication with the online endpoint by using [private endpoints](../private-link/private-endpoint-overview.md). In this article, you'll learn how a private endpoint can be used to secure inbound communication to a managed online endpoint. You'll also learn how a workspace managed virtual network can be used to provide secure communication between deployments and resources.
 
-> [!IMPORTANT]
-> This article describes the recommended [network isolation method](concept-secure-online-endpoint.md) that's based on the workspace managed virtual network. Application of this network isolation method to managed online endpoints is currently in public preview and provided without a service-level agreement. We don't recommend using it for production workloads, as certain features might not be supported or might have constrained capabilities. For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
+[!INCLUDE [machine-learning-moe-with-workspace-vnet-preview](includes/machine-learning-moe-with-workspace-vnet-preview.md)]
 
 You can secure inbound scoring requests from clients to an _online endpoint_ and secure outbound communications between a _deployment_, the Azure resources it uses, and private resources. Security for inbound and outbound communication are configured separately. For more information on endpoints and deployments, see [What are endpoints and deployments](concept-endpoints-online.md).
 

articles/machine-learning/how-to-secure-online-endpoint.md

@@ -19,8 +19,7 @@ ms.custom: event-tier1-build-2022, devx-track-azurecli, moe-wsvnet
 
 In this article, you'll use network isolation to secure a managed online endpoint. You'll create a managed online endpoint that uses an Azure Machine Learning workspace's private endpoint for secure inbound communication. You'll also configure the workspace with a **managed virtual network** that **allows only approved outbound** communication for deployments (preview). Finally, you'll create a deployment that uses the private endpoints of the workspace's managed virtual network for outbound communication.
 
-> [!IMPORTANT]
-> This article uses the recommended [network isolation method](concept-secure-online-endpoint.md) that's based on the workspace managed virtual network. Application of this network isolation method to managed online endpoints is currently in public preview and provided without a service-level agreement. We don't recommend using it for production workloads, as certain features might not be supported or might have constrained capabilities. For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
+[!INCLUDE [machine-learning-moe-with-workspace-vnet-preview](includes/machine-learning-moe-with-workspace-vnet-preview.md)]
 
 For examples that use the legacy method for network isolation, see the deployment files [deploy-moe-vnet-legacy.sh](https://github.com/Azure/azureml-examples/blob/main/cli/deploy-moe-vnet-legacy.sh) (for deployment using a generic model) and [deploy-moe-vnet-mlflow-legacy.sh](https://github.com/Azure/azureml-examples/blob/main/cli/deploy-moe-vnet-mlflow-legacy.sh) (for deployment using an MLflow model) in the azureml-examples GitHub repo.
 

articles/machine-learning/includes/machine-learning-moe-with-workspace-vnet-preview.md

@@ -0,0 +1,11 @@
+---
+author: msakande
+ms.service: machine-learning
+ms.topic: include
+ms.date: 08/23/2023
+ms.author: mopeakande
+ms.custom: moe-wsvnet
+---
+
+> [!IMPORTANT]
+> This article describes the recommended [network isolation method](../concept-secure-online-endpoint.md) that's based on the workspace managed virtual network. Application of this network isolation method to managed online endpoints is currently in public preview and provided without a service-level agreement. We don't recommend using it for production workloads, as certain features might not be supported or might have constrained capabilities. For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).