Remove 'preview' as requested.

Author: fbsolo-ms1

articles/machine-learning/apache-spark-azure-ml-concepts.md

@@ -14,16 +14,16 @@ ms.custom: cliv2, sdkv2
 #Customer intent: As a full-stack machine learning pro, I want to use Apache Spark in Azure Machine Learning.
 ---
 
-# Apache Spark in Azure Machine Learning (preview)
+# Apache Spark in Azure Machine Learning
 
-Azure Machine Learning integration with Azure Synapse Analytics (preview) provides easy access to distributed computation resources through the Apache Spark framework. This integration offers these Apache Spark computing experiences:
+Azure Machine Learning integration with Azure Synapse Analytics provides easy access to distributed computation resources through the Apache Spark framework. This integration offers these Apache Spark computing experiences:
 
-- Serverless Spark compute (preview)
-- Attached Synapse Spark pool (preview)
+- Serverless Spark compute
+- Attached Synapse Spark pool
 
 [!INCLUDE [machine-learning-preview-generic-disclaimer](../../includes/machine-learning-preview-generic-disclaimer.md)]
 
-## Serverless Spark compute (preview)
+## Serverless Spark compute
 
 With the Apache Spark framework, Azure Machine Learning serverless Spark compute is the easiest way to accomplish distributed computing tasks in the Azure Machine Learning environment. Azure Machine Learning offers a fully managed, serverless, on-demand Apache Spark compute cluster. Its users can avoid the need to create an Azure Synapse workspace and a Synapse Spark pool.
 
@@ -118,8 +118,8 @@ To access data and other resources, a Spark job can use either a user identity p
 
 ## Next steps
 
-- [Attach and manage a Synapse Spark pool in Azure Machine Learning (preview)](./how-to-manage-synapse-spark-pool.md)
-- [Interactive data wrangling with Apache Spark in Azure Machine Learning (preview)](./interactive-data-wrangling-with-apache-spark-azure-ml.md)
-- [Submit Spark jobs in Azure Machine Learning (preview)](./how-to-submit-spark-jobs.md)
+- [Attach and manage a Synapse Spark pool in Azure Machine Learning](./how-to-manage-synapse-spark-pool.md)
+- [Interactive data wrangling with Apache Spark in Azure Machine Learning](./interactive-data-wrangling-with-apache-spark-azure-ml.md)
+- [Submit Spark jobs in Azure Machine Learning](./how-to-submit-spark-jobs.md)
 - [Code samples for Spark jobs using the Azure Machine Learning CLI](https://github.com/Azure/azureml-examples/tree/main/cli/jobs/spark)
 - [Code samples for Spark jobs using the Azure Machine Learning Python SDK](https://github.com/Azure/azureml-examples/tree/main/sdk/python/jobs/spark)

articles/machine-learning/how-to-manage-synapse-spark-pool.md

@@ -263,7 +263,7 @@ This sample shows the expected output of the above command:
 
 [!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
 
-Azure Machine Learning Python SDK (preview) provides convenient functions for attaching and managing Synapse Spark pool, using Python code in Azure Machine Learning Notebooks.
+Azure Machine Learning Python SDK provides convenient functions for attaching and managing Synapse Spark pool, using Python code in Azure Machine Learning Notebooks.
 
 To attach a Synapse Compute using Python SDK, first create an instance of [azure.ai.ml.MLClient class](/python/api/azure-ai-ml/azure.ai.ml.mlclient). This provides convenient functions for interaction with Azure Machine Learning services. The following code sample uses `azure.identity.DefaultAzureCredential` for connecting to a workspace in resource group of a specified Azure subscription. In the following code sample, define the `SynapseSparkCompute` with the parameters:
 - `name` - user-defined name of the new attached Synapse Spark pool.