removing preview tag, validating freshness

Author: Larry Franks

articles/machine-learning/how-to-deploy-custom-container.md

@@ -8,7 +8,7 @@ ms.subservice: mlops
 ms.author: sehan
 author: dem108
 ms.reviewer: larryfr
-ms.date: 05/11/2022
+ms.date: 10/13/2022
 ms.topic: how-to
 ms.custom: deploy, devplatv2, devx-track-azurecli, cliv2, event-tier1-build-2022, sdkv2
 ms.devlang: azurecli
@@ -20,11 +20,6 @@ ms.devlang: azurecli
 
 [!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
 
-> [!IMPORTANT]
-> SDK v2 is currently in public preview.
-> The preview version is provided without a service level agreement, and it's not recommended for production workloads. Certain features might not be supported or might have constrained capabilities. 
-> For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
-
 Learn how to deploy a custom container as an online endpoint in Azure Machine Learning.
 
 Custom container deployments can use web servers other than the default Python Flask server used by Azure Machine Learning. Users of these deployments can still take advantage of Azure Machine Learning's built-in monitoring, scaling, alerting, and authentication.