freshness

Blackmist · Blackmist · commit 72ff89c6dde9 · 2025-02-06T09:39:28.000-05:00
diff --git a/articles/machine-learning/how-to-secure-kubernetes-inferencing-environment.md b/articles/machine-learning/how-to-secure-kubernetes-inferencing-environment.md
@@ -62,15 +62,15 @@ Special notes for configuring a secure AKS inferencing environment:
   * If your workspace is also behind a VNet, follow the instructions in [securely connect to your workspace](./how-to-secure-workspace-vnet.md#securely-connect-to-your-workspace) to access the workspace.
   * For storage account private endpoint, make sure to enable `Allow Azure services on the trusted services list to access this storage account`.
 
->[!Note]
+> [!NOTE]
 >
 > If your AKS that is behind a VNet has been stopped and **restarted**, you need to:
 > 1. First, follow the steps in [Stop and start an Azure Kubernetes Service (AKS) cluster](/azure/aks/start-stop-cluster) to delete and recreate a private endpoint linked to this cluster. 
 > 1. Then, reattach the Kubernetes computes attached from this AKS in your workspace. 
 >
 > Otherwise, the creation, update, and deletion of endpoints/deployments to this AKS cluster will fail.
 
-## Next steps
+## Related content
 
 This article is part of a series on securing an Azure Machine Learning workflow. See the other articles in this series:
 

Original file line number	Diff line number	Diff line change
`@@ -62,15 +62,15 @@ Special notes for configuring a secure AKS inferencing environment:`
`62`	`62`	`* If your workspace is also behind a VNet, follow the instructions in [securely connect to your workspace](./how-to-secure-workspace-vnet.md#securely-connect-to-your-workspace) to access the workspace.`
`63`	`63`	* For storage account private endpoint, make sure to enable `Allow Azure services on the trusted services list to access this storage account`.
`64`	`64`
`65`		`->[!Note]`
	`65`	`+> [!NOTE]`
`66`	`66`	`>`
`67`	`67`	`> If your AKS that is behind a VNet has been stopped and restarted, you need to:`
`68`	`68`	`> 1. First, follow the steps in [Stop and start an Azure Kubernetes Service (AKS) cluster](/azure/aks/start-stop-cluster) to delete and recreate a private endpoint linked to this cluster.`
`69`	`69`	`> 1. Then, reattach the Kubernetes computes attached from this AKS in your workspace.`
`70`	`70`	`>`
`71`	`71`	`> Otherwise, the creation, update, and deletion of endpoints/deployments to this AKS cluster will fail.`
`72`	`72`
`73`		`-## Next steps`
	`73`	`+## Related content`
`74`	`74`
`75`	`75`	`This article is part of a series on securing an Azure Machine Learning workflow. See the other articles in this series:`
`76`	`76`