Merge pull request #224580 from Blackmist/freshness

updates

Author: prmerger-automator[bot]

articles/machine-learning/how-to-administrate-data-authentication.md

@@ -9,7 +9,8 @@ ms.topic: how-to
 ms.author: xunwan
 author: xunwan
 ms.reviewer: larryfr
-ms.date: 05/24/2022
+ms.date: 01/20/2023
+ms.custom: engagement-fy23
 
 # Customer intent: As an administrator, I need to administrate data access and set up authentication method for data scientists.
 ---

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

@@ -9,7 +9,8 @@ ms.topic: how-to
 ms.author: jhirono
 author: jhirono
 ms.reviewer: larryfr
-ms.date: 08/26/2022
+ms.date: 01/20/2023
+ms.custom: engagement-fy23
 ---
 
 # Azure Machine Learning data exfiltration prevention
@@ -24,7 +25,7 @@ Azure Machine Learning has several inbound and outbound dependencies. Some of th
 
     * __Storage Outbound__: This requirement comes from compute instance and compute cluster. A malicious agent can use this outbound rule to exfiltrate data by provisioning and saving data in their own storage account. You can remove data exfiltration risk by using an Azure Service Endpoint Policy and Azure Batch's simplified node communication architecture.
 
-    * __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 qulified 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.
+    * __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`
@@ -151,10 +152,6 @@ When using Azure ML curated environments, make sure to use the latest environmen
 
     ---
 
-## Limitations
-
-If you want to have data exfiltration with **No Public IP option**, you need to opt in to this Azure Machine Learning preview. Microsoft will contact you once your subscription has been allowlisted to the preview. It may take one to two weeks to allowlist your subscription. Use the form at [https://forms.office.com/r/0Rw6mXTT07](https://forms.office.com/r/0Rw6mXTT07) to opt in to this Azure Machine Learning preview.
-
 ## Next steps
 
 For more information, see the following articles:

articles/machine-learning/how-to-setup-customer-managed-keys.md

@@ -5,12 +5,12 @@ description: 'Learn how to improve data security with Azure Machine Learning by
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: enterprise-readiness
-ms.custom: event-tier1-build-2022, ignite-2022
+ms.custom: event-tier1-build-2022, ignite-2022, engagement-fy23
 ms.topic: conceptual
 ms.author: jhirono
 author: jhirono
 ms.reviewer: larryfr
-ms.date: 06/24/2022
+ms.date: 01/20/2023
 ---
 # Use customer-managed keys with Azure Machine Learning
 
@@ -41,7 +41,7 @@ In the [customer-managed keys concepts article](concept-customer-managed-keys.md
 * Resources managed by Microsoft in your subscription can’t transfer ownership to you.
 * You can't delete Microsoft-managed resources used for customer-managed keys without also deleting your workspace.
 * The key vault that contains your customer-managed key must be in the same Azure subscription as the Azure Machine Learning workspace.
-* Workspace with customer-managed key does not currently support v2 online endpoint and batch endpoint.
+* Workspace with customer-managed key doesn't currently support v2 online endpoint and batch endpoint.
 
 > [!IMPORTANT]
 > When using a customer-managed key, the costs for your subscription will be higher because of the additional resources in your subscription. To estimate the cost, use the [Azure pricing calculator](https://azure.microsoft.com/pricing/calculator/).