Merge pull request #205529 from sidramadoss/patch-132

Update sql-database-output.md

Author: PRMerger13

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

@@ -5,12 +5,12 @@ author: enkrumah
 ms.author: ebnkruma
 ms.service: stream-analytics
 ms.topic: conceptual
-ms.date: 05/30/2021
+ms.date: 07/21/2022
 ---
 
 # Azure SQL Database output from Azure Stream Analytics
 
-You can use [Azure SQL Database](https://azure.microsoft.com/services/sql-database/) as an output for data that's relational in nature or for applications that depend on content being hosted in a relational database. Azure Stream Analytics jobs write to an existing table in SQL Database. The table schema must exactly match the fields and their types in your job's output. You can also specify [Azure Synapse Analytics](https://azure.microsoft.com/documentation/services/sql-data-warehouse/) as an output via the SQL Database output option. To learn about ways to improve write throughput, see the [Stream Analytics with Azure SQL Database as output](stream-analytics-sql-output-perf.md) article.
+You can use [Azure SQL Database](https://azure.microsoft.com/services/sql-database/) as an output for data that's relational in nature or for applications that depend on content being hosted in a relational database. Azure Stream Analytics jobs write to an existing table in SQL Database. The table schema must exactly match the fields and their types in your job's output. The Azure portal experience for Stream Analytics allows you to [test your streaming query and also detect if there are any mismatches between the schema](sql-db-table.md) of the results produced by your job and the schema of the target table in your SQL database. To learn about ways to improve write throughput, see the [Stream Analytics with Azure SQL Database as output](stream-analytics-sql-output-perf.md) article. While you can also specify [Azure Synapse Analytics SQL pool](https://azure.microsoft.com/documentation/services/sql-data-warehouse/) as an output via the SQL Database output option, it is recommended to use the dedicated [Azure Synapse Analytics output connector](azure-synapse-analytics-output.md) for best performance.
 
 You can also use [Azure SQL Managed Instance](/azure/azure-sql/managed-instance/sql-managed-instance-paas-overview) as an output. You have to [configure public endpoint in SQL Managed Instance](/azure/azure-sql/managed-instance/public-endpoint-configure) and then manually configure the following settings in Azure Stream Analytics. Azure virtual machine running SQL Server with a database attached is also supported by manually configuring the settings below.
 
@@ -45,13 +45,13 @@ You can configure the max message size by using **Max batch count**. The default
 
 ## Limitation
 
-Self-signed ssl cert is not supported when trying to connect ASA jobs to SQL on VM
+Self-signed SSL certifacte is not supported when trying to connect ASA jobs to SQL on VM.
 
 ## Next steps
 
-* [Understand outputs from Azure Stream Analytics](stream-analytics-define-outputs.md)
+* [How to add SQL DB output in Stream Analytics](sql-db-table.md) 
 * [Increase throughput performance to Azure SQL Database from Azure Stream Analytics](stream-analytics-sql-output-perf.md)
 * [Use managed identities to access Azure SQL Database or Azure Synapse Analytics from an Azure Stream Analytics job](./sql-database-output-managed-identity.md)
 * [Use reference data from a SQL Database for an Azure Stream Analytics job](sql-reference-data.md)
 * [Update or merge records in Azure SQL Database with Azure Functions](sql-database-upsert.md)
-* [Quickstart: Create a Stream Analytics job by using the Azure portal](stream-analytics-quick-create-portal.md)
+* [Understand outputs from Azure Stream Analytics](stream-analytics-define-outputs.md)