Update how-to-secure-inferencing-vnet.md

Author: miwithro

articles/machine-learning/how-to-secure-inferencing-vnet.md

@@ -59,7 +59,7 @@ In this article you learn how to secure the following inferencing resources in a
 ### Azure Kubernetes Service
 
 * If your workspace has a __private endpoint__, the Azure Kubernetes Service cluster must be in the same Azure region as the workspace.
-* 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.
 
 <a id="aksvnet"></a>
 
@@ -288,4 +288,4 @@ This article is part of a series on securing an Azure Machine Learning workflow.
 * [Secure the training environment](how-to-secure-training-vnet.md)
 * [Enable studio functionality](how-to-enable-studio-virtual-network.md)
 * [Use custom DNS](how-to-custom-dns.md)
-* [Use a firewall](how-to-access-azureml-behind-firewall.md)
+* [Use a firewall](how-to-access-azureml-behind-firewall.md)