update k8s compute TSG and log

Author: jiaochenlu

articles/machine-learning/how-to-deploy-kubernetes-extension.md

@@ -45,7 +45,8 @@ In this article, you can learn:
 - If your AKS cluster has an [Authorized IP range enabled to access the API server](../aks/api-server-authorized-ip-ranges.md), enable the AzureML control plane IP ranges for the AKS cluster. The AzureML control plane is deployed across paired regions. Without access to the API server, the machine learning pods can't be deployed. Use the [IP ranges](https://www.microsoft.com/download/confirmation.aspx?id=56519) for both the [paired regions](../availability-zones/cross-region-replication-azure.md) when enabling the IP ranges in an AKS cluster.
 - Azure Machine Learning does not guarantee support for all preview stage features in AKS. For example, [Azure AD pod identity](../aks/use-azure-ad-pod-identity.md) is not supported.
 - If you've previously followed the steps from [AzureML AKS v1 document](./v1/how-to-create-attach-kubernetes.md) to create or attach your AKS as inference cluster, use the following link to [clean up the legacy azureml-fe related resources](./v1/how-to-create-attach-kubernetes.md#delete-azureml-fe-related-resources) before you continue the next step.
-- We currently don't support attaching your AKS cluster across subscription, which means that your AKS cluster must be in the same subscription as your workspace. The workaround to meet your cross-subscription needs is to first connect AKS to Azure-ARC and then attach this ARC-Kubernetes resource.
+- We currently don't support attaching your AKS cluster across subscription, which means that your AKS cluster must be in the same subscription as your workspace. 
+   - The workaround to meet your cross-subscription needs is to first connect AKS to Azure-ARC and then attach this ARC-Kubernetes resource.
 
 ## Review AzureML extension configuration settings