Update how-to-create-attach-kubernetes.md

Author: miwithro

articles/machine-learning/how-to-create-attach-kubernetes.md

@@ -43,7 +43,7 @@ Azure Machine Learning can deploy trained machine learning models to Azure Kuber
 
 - If you want to use a private AKS cluster (using Azure Private Link), you must create the cluster first, and then **attach** it to the workspace. For more information, see [Create a private Azure Kubernetes Service cluster](../aks/private-clusters.md).
 
-- Using a [public fully qualified domain name (FQDN) with a private AKS cluster](../aks/private-clusters.md#create-a-private-aks-cluster-with-a-public-fqdn) is __not supported__ with Azure Machine learning. 
+- Using a [public fully qualified domain name (FQDN) with a private AKS cluster](../aks/private-clusters.md) is __not supported__ with Azure Machine learning. 
 
 - The compute name for the AKS cluster MUST be unique within your Azure ML workspace. It can include letters, digits and dashes. It must start with a letter, end with a letter or digit, and be between 3 and 24 characters in length.
 
@@ -428,4 +428,4 @@ az aks get-credentials -g <rg> -n <aks cluster name>
 
 * [Use Azure RBAC for Kubernetes authorization](../aks/manage-azure-rbac.md)
 * [How and where to deploy a model](how-to-deploy-and-where.md)
-* [Deploy a model to an Azure Kubernetes Service cluster](how-to-deploy-azure-kubernetes-service.md)
+* [Deploy a model to an Azure Kubernetes Service cluster](how-to-deploy-azure-kubernetes-service.md)