Merge pull request #202 from jeff-shepherd/patch-2

Update how-to-prevent-data-loss-exfiltration.md

Author: ttorble

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

@@ -29,7 +29,7 @@ Azure Machine Learning has several inbound and outbound dependencies. Some of th
     * __AzureFrontDoor.frontend outbound__: Azure Front Door is used by the Azure Machine Learning studio UI and AutoML. Instead of allowing outbound to the service tag (AzureFrontDoor.frontend), switch to the following fully qualified domain names (FQDN). Switching to these FQDNs removes unnecessary outbound traffic included in the service tag and allows only what is needed for Azure Machine Learning studio UI and AutoML.
 
         - `ml.azure.com`
-        - `automlresources-prod.azureedge.net`
+        - `automlresources-prod-d0eaehh7g8andvav.b02.azurefd.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**. With a managed virtual network, Azure Machine Learning handles the job of network isolation for your workspace and managed computes.