Update how-to-autoscale-endpoints.md

Author: dem108

articles/machine-learning/how-to-autoscale-endpoints.md

@@ -10,7 +10,7 @@ ms.author: sehan
 ms.reviewer: mopeakande
 ms.custom: devplatv2, cliv2, event-tier1-build-2022
 
-ms.date: 11/04/2022
+ms.date: 02/07/2023
 ---
 # Autoscale an online endpoint
 
@@ -25,7 +25,7 @@ Today, you can manage autoscaling using either the Azure CLI, REST, ARM, or the
 ## Prerequisites
 
 * A deployed endpoint. [Deploy and score a machine learning model by using an online endpoint](how-to-deploy-online-endpoints.md). 
-* To use autoscale, the role `microsoft.insights/autoscalesettings/write` must be assigned to the identity that manages autoscale. You can use any built-in or custom roles that allows this action. For general guidance on managing roles for Azure Machine Learning, see [how to assign roles](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-assign-roles). For more on autoscale settings from Azure Monitor, see [Microsoft.Insights autoscalesettings](https://learn.microsoft.com/en-us/azure/templates/microsoft.insights/autoscalesettings).
+* To use autoscale, the role `microsoft.insights/autoscalesettings/write` must be assigned to the identity that manages autoscale. You can use any built-in or custom roles that allows this action. For general guidance on managing roles for Azure Machine Learning, see [how to assign roles](how-to-assign-roles). For more on autoscale settings from Azure Monitor, see [Microsoft.Insights autoscalesettings](https://learn.microsoft.com/azure/templates/microsoft.insights/autoscalesettings).
 
 ## Define an autoscale profile