Merge pull request #210185 from sidramadoss/patch-133

Sept 2022 Update to ASA

Author: prmerger-automator[bot]

articles/stream-analytics/postgresql-database-output.md

@@ -1,5 +1,5 @@
 ---
-title: Azure Database for PostgreSQL output from Azure Stream Analytics (Preview)
+title: Azure Database for PostgreSQL output from Azure Stream Analytics
 description: This article describes Azure Database for PostgreSQL as output for Azure Stream Analytics.
 author: enkrumah
 ms.author: ebnkruma
@@ -8,7 +8,7 @@ ms.topic: conceptual
 ms.date: 04/27/2022
 ---
 
-# Azure Database for PostgreSQL output from Azure Stream Analytics (Preview)
+# Azure Database for PostgreSQL output from Azure Stream Analytics
 
 You can use [Azure Database for PostgreSQL](https://azure.microsoft.com/services/postgresql/) as an output for data that is relational in nature or for applications that depend on the content being hosted in a relational database. Azure Stream Analytics jobs write to an existing table in PostgreSQL Database. The table schema must exactly match the fields and their types in your job's output. 
 
@@ -47,8 +47,6 @@ The following table lists the property names and their description for creating
 
 Partitioning needs to enabled and is based on the PARTITION BY clause in the query. When the Inherit Partitioning option is enabled, it follows the input partitioning for [fully parallelizable queries](stream-analytics-scale-jobs.md). 
 
-## Limitation
-Test connection functionality to Azure Database for PostgreSQL is not supported at the time of preview.
 
 ## Next steps
 

articles/stream-analytics/private-endpoints.md

@@ -14,7 +14,15 @@ ms.date: 05/20/2021
 
 You can connect your Azure Stream Analytics jobs running on a cluster to input and output resources that are behind a firewall or an Azure Virtual Network (VNet). First, you create a managed private endpoint for a resource, such as Azure Event Hub or Azure SQL Database, in your Stream Analytics cluster. Then, approve the private endpoint connection from your input or output.
 
-Once you approve the connection, any job running in your Stream Analytics cluster can access the resource through the private endpoint. This article shows you how to create and delete private endpoints in a Stream Analytics cluster. You can create private endpoints for Azure SQL Database, Azure Cosmos DB, Azure Storage, Azure Data Lake Storage Gen2, Azure Event Hub, Azure IoT Hubs and Azure Service Bus.
+Once you approve the connection, any job running in your Stream Analytics cluster can access the resource through the private endpoint. This article shows you how to create and delete private endpoints in a Stream Analytics cluster. You can create private endpoints for:
+* Azure SQL Database
+* Azure Cosmos DB
+* Azure Blob Storage
+* Azure Data Lake Storage Gen2
+* Azure Event Hub
+* Azure IoT Hubs
+* Azure Service Bus
+* Azure Synapse Analytics - Dedicated SQL pool
 
 ## Create managed private endpoint in Stream Analytics cluster
 
@@ -53,6 +61,9 @@ In this section, you learn how to create a private endpoint in a Stream Analytic
 
    ![delete private endpoint](./media/private-endpoints/delete-private-endpoint.png)
 
+## Limitation
+When configuring managed private endpoints to Azure Synapse Analytics (Dedicated SQL pool), you must add your Synapse SQL output to your job using **Provide SQL Database settings manually** mode. Provide the full Dedicated Synapse SQL pool URL such as **{WorkspaceName}.sql.azuresynapse.net** for the **Server name** field. 
+
 ## Next steps
 
 You now have an overview of how to manage private endpoints in an Azure Stream Analytics cluster. Next, you can learn how to scale your clusters and run jobs in your cluster:

articles/stream-analytics/service-bus-managed-identity.md

@@ -9,7 +9,7 @@ ms.date: 08/10/2022
 ms.custom: subject-rbac-steps
 ---
 
-# Use managed identities to access Service Bus from an Azure Stream Analytics job (preview)
+# Use managed identities to access Service Bus from an Azure Stream Analytics job
 
 Azure Stream Analytics supports managed identity authentication for both Azure Service Bus output. Managed identities for Azure resources is a cross-Azure feature that enables you to create a secure identity associated with the deployment under which your application code runs. You can then associate that identity with access-control roles that grant custom permissions for accessing specific Azure resources that your application needs.
 
@@ -69,9 +69,6 @@ Now that your managed identity is configured, you're ready to add the Service
 
 1. Fill out the rest of the properties and select **Save**.
 
-### Limitation
-Test connection on the azure portal is not expected to work when authentication mode for Service Bus is set to user-assigned or system-assigned managed identity.
-
 ## Next steps
 
 * [Understand outputs from Azure Stream Analytics](stream-analytics-define-outputs.md)