Merge pull request #264847 from Blackmist/194447-fresh

updating text/date/screenshots

Author: Jill Grant

articles/machine-learning/how-to-prevent-data-loss-exfiltration.md

@@ -9,7 +9,7 @@ ms.topic: how-to
 ms.author: jhirono
 author: jhirono
 ms.reviewer: larryfr
-ms.date: 04/14/2023
+ms.date: 01/31/2024
 ms.custom: engagement-fy23, build-2023
 monikerRange: 'azureml-api-2 || azureml-api-1'
 ---
@@ -32,7 +32,7 @@ Azure Machine Learning has several inbound and outbound dependencies. Some of th
         - `automlresources-prod.azureedge.net`
 
 > [!TIP]
-> The information in this article is primarily about using an Azure Virtual Network. Azure Machine Learning can also use a **managed virtual networks** (preview). With a managed virtual network, Azure Machine Learning handles the job of network isolation for your workspace and managed computes. 
+> The information in this article is primarily about using an Azure Virtual Network. Azure Machine Learning can also use a **managed virtual networks**. With a managed virtual network, Azure Machine Learning handles the job of network isolation for your workspace and managed computes. 
 >
 > To address data exfiltration concerns, managed virtual networks allow you to restrict egress to only approved outbound traffic. For more information, see [Workspace managed network isolation](how-to-managed-network.md).
 

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

@@ -9,7 +9,7 @@ ms.topic: how-to
 ms.reviewer: larryfr
 ms.author: jhirono
 author: jhirono
-ms.date: 09/06/2022
+ms.date: 01/31/2024
 ---
 
 # Secure an Azure Machine Learning inferencing environment with virtual networks
@@ -19,7 +19,7 @@ In this article, you learn how to secure inferencing environments (online endpoi
 * Azure Machine Learning managed online endpoints
 
    > [!TIP]
-   > Microsoft recommends using an Azure Machine Learning **managed virtual networks** (preview) instead of the steps in this article when securing managed online endpoints. With a managed virtual network, Azure Machine Learning handles the job of network isolation for your workspace and managed computes. You can also add private endpoints for resources needed by the workspace, such as Azure Storage Account. For more information, see [Workspace managed network isolation](how-to-managed-network.md).
+   > Microsoft recommends using an Azure Machine Learning **managed virtual networks** instead of the steps in this article when securing managed online endpoints. With a managed virtual network, Azure Machine Learning handles the job of network isolation for your workspace and managed computes. You can also add private endpoints for resources needed by the workspace, such as Azure Storage Account. For more information, see [Workspace managed network isolation](how-to-managed-network.md).
 
 * Azure Kubernetes Service 
 

articles/machine-learning/v1/how-to-secure-inferencing-vnet.md

@@ -9,7 +9,7 @@ ms.topic: how-to
 ms.reviewer: larryfr
 ms.author: jhirono
 author: jhirono
-ms.date: 07/28/2022
+ms.date: 01/31/2024
 ms.custom: UpdateFrequency5, contperf-fy20q4, tracking-python, contperf-fy21q1, devx-track-azurecli, sdkv1, event-tier1-build-2022
 ---
 
@@ -72,11 +72,11 @@ When your Azure Machine Learning workspace is configured with a private endpoint
 To add AKS in a virtual network to your workspace, use the following steps:
 
 1. Sign in to [Azure Machine Learning studio](https://ml.azure.com/), and then select your subscription and workspace.
-1. Select __Compute__ on the left, __Inference clusters__ from the center, and then select __+ New__.
+1. Select __Compute__ on the left, __Inference clusters__ from the center, and then select __+ New__. Finally, select __AksCompute__.
 
     :::image type="content" source="./media/how-to-secure-inferencing-vnet/create-inference.png" alt-text="Screenshot of create inference cluster dialog.":::
 
-1. From the __Create inference cluster__ dialog, select __Create new__ and the VM size to use for the cluster. Finally, select __Next__.
+1. From the __Create AksCompute__ dialog, select __Create new__, the __Location__ and the VM size to use for the cluster. Finally, select __Next__.
 
     :::image type="content" source="./media/how-to-secure-inferencing-vnet/create-inference-vm.png" alt-text="Screenshot of VM settings.":::
 
@@ -101,7 +101,7 @@ To add AKS in a virtual network to your workspace, use the following steps:
    > [!IMPORTANT]
    > Keep the default outbound rules for the NSG. For more information, see the default security rules in [Security groups](../../virtual-network/network-security-groups-overview.md#default-security-rules).
 
-   ![Screenshot that shows an inbound security rule.](./media/how-to-secure-inferencing-vnet/aks-vnet-inbound-nsg-scoring.png)](./media/how-to-secure-inferencing-vnet/aks-vnet-inbound-nsg-scoring.png#lightbox)
+   :::image type="content" source="./media/how-to-secure-inferencing-vnet/aks-vnet-inbound-nsg-scoring.png" alt-text="Screenshot that shows an inbound security rule." lightbox="./media/how-to-secure-inferencing-vnet/aks-vnet-inbound-nsg-scoring.png":::
 
     > [!IMPORTANT]
     > The IP address shown in the image for the scoring endpoint will be different for your deployments. While the same IP is shared by all deployments to one AKS cluster, each AKS cluster will have a different IP address.