Merge pull request #178898 from Blackmist/1891136-aks

writing about limitation

Author: PRMerger8

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

@@ -10,7 +10,7 @@ ms.custom: devx-track-azurecli
 ms.author: jordane
 author: jpe316
 ms.reviewer: larryfr
-ms.date: 10/21/2021
+ms.date: 11/05/2021
 ---
 
 # Create and attach an Azure Kubernetes Service cluster
@@ -43,6 +43,8 @@ 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](/azure/aks/private-clusters#create-a-private-aks-cluster-with-a-public-fqdn) 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.
 
  - If you want to deploy models to **GPU** nodes or **FPGA** nodes (or any specific SKU), then you must create a cluster with the specific SKU. There is no support for creating a secondary node pool in an existing cluster and deploying models in the secondary node pool.

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

@@ -9,7 +9,7 @@ ms.topic: how-to
 ms.reviewer: larryfr
 ms.author: jhirono
 author: jhirono
-ms.date: 10/21/2021
+ms.date: 11/05/2021
 ms.custom: contperf-fy20q4, tracking-python, contperf-fy21q1, devx-track-azurecli
 
 ---
@@ -59,6 +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](/azure/aks/private-clusters#create-a-private-aks-cluster-with-a-public-fqdn) is __not supported__ with Azure Machine learning.
 
 <a id="aksvnet"></a>