Update release-notes-10-0-10106-0.md

Author: anumjs

articles/sql-data-warehouse/release-notes-10-0-10106-0.md

@@ -33,7 +33,7 @@ Use the date identified to confirm which release has been applied to your Azure
 |**Data Discovery & Classification (GA)**|[Data discovery and classification](/azure/sql-database/sql-database-data-discovery-and-classification?toc=/azure/sql-data-warehouse/toc.json) feature is now Generally Available. This feature provides advanced capabilities for **discovering, classifying, labeling & protecting** sensitive data in your databases.|
 |**Azure Advisor one-click Integration**|SQL Data Warehouse now directly integrates with Azure Advisor recommendations in the overview blade along with providing a one-click experience. You can now discover recommendations in the overview blade instead of navigating to the Azure advisor blade. Find out more about recommendations [here](sql-data-warehouse-concept-recommendations.md).|
 |**EXECUTE AS (Transact-SQL)**| [EXECUTE AS](/sql/t-sql/statements/execute-as-transact-sql?view=azure-sqldw-latest) T-SQL support is now available in SQL Data Warehouse enabling customers to set the execution context of a session to the specified user.|
-|**Additional T-SQL support**|The T-SQL language surface area for SQL Data Warehouse has been extended to include support for: </br> - [FORMAT (Transact-SQL)](/sql/t-sql/functions/format-transact-sql?view=azure-sqldw-latest)</br> - [TRY_PARSE (Transact-SQL)](/sql/t-sql/functions/try-parse-transact-sql?view=azure-sqldw-latest)</br> - [TRY_CAST (Transact-SQL)](/sql/t-sql/functions/try-cast-transact-sql?view=azure-sqldw-latest)</br> - [TRY_CONVERT(Transact-SQL)](/sql/t-sql/functions/try-convert-transact-sql?view=azure-sqldw-latest)</br> - [sys.user_token (Transact-SQL)](/sql//relational-databases/system-catalog-views/sys-user-token-transact-sql?view=azure-sqldw-latest)|
+|**Additional T-SQL support**|The T-SQL language surface area for SQL Data Warehouse has been extended to include support for: </br> - [FORMAT (Transact-SQL)](/sql/t-sql/functions/format-transact-sql?view=azure-sqldw-latest)</br> - [TRY_PARSE (Transact-SQL)](/sql/t-sql/functions/try-parse-transact-sql?view=azure-sqldw-latest)</br> - [TRY_CAST (Transact-SQL)](/sql/t-sql/functions/try-cast-transact-sql?view=azure-sqldw-latest)</br> - [TRY_CONVERT (Transact-SQL)](/sql/t-sql/functions/try-convert-transact-sql?view=azure-sqldw-latest)</br> - [sys.user_token (Transact-SQL)](/sql//relational-databases/system-catalog-views/sys-user-token-transact-sql?view=azure-sqldw-latest)|
 
 ## July 2019
 
@@ -61,7 +61,7 @@ Use the date identified to confirm which release has been applied to your Azure
 | --- | --- |
 |**Data Discovery & Classification**|Data Discovery & Classification is now available in public preview for Azure SQL Data Warehouse. It’s critical to protect sensitive data and the privacy of your customers. As your business and customer data assets grow, it becomes unmanageable to discover, classify, and protect your data. The data discovery and classification feature that we’re introducing natively with Azure SQL Data Warehouse helps make protecting your data more manageable. The overall benefits of this capability are:<br/>&bull; &nbsp; Meeting data privacy standards and regulatory compliance requirements.<br/>&bull; &nbsp; Restricting access to and hardening the security of data warehouses containing highly sensitive data.<br/>&bull; &nbsp; Monitoring and alerting on anomalous access to sensitive data.<br/>&bull; &nbsp; Visualization of sensitive data in a central dashboard on the Azure portal. </br></br>Data Discovery & Classification is available for Azure SQL Data Warehouse in all Azure regions, It's part of Advanced Data Security including Vulnerability Assessment and Threat Detection. For more information about Data Discovery & Classification, see the [blog post](https://azure.microsoft.com/blog/announcing-public-preview-of-data-discovery-classification-for-microsoft-azure-sql-data-warehouse/) and our online [documentation](/azure/sql-database/sql-database-data-discovery-and-classification).|
 |**GROUP BY ROLLUP**|ROLLUP is now a supported GROUP BY option in Azure Data Warehouse.   GROUP BY ROLLUP creates a group for each combination of column expressions. GROUP BY also "rolls up" the results into subtotals and grand totals. The GROUP BY function processes from right to left, decreasing the number of column expressions over which it creates groups and aggregation(s).  The column order affects the ROLLUP output and can affect the number of rows in the result set.<br/><br/>For more information on GROUP BY ROLLUP, see  [GROUP BY (Transact-SQL)](/sql/t-sql/queries/select-group-by-transact-sql?view=azure-sqldw-latest)
-|**Improved accuracy for DWU used and CPU portal metrics**|SQL Data Warehouse significantly enhances metric accuracy in the Azure portal.  This release includes a fix to the CPU and DWU Used metric definition to properly reflect your workload across all compute nodes. Before this fix, metric values were being undereported. Expect to see an increase in the DWU used and CPU metrics in the Azure portal. |
+|**Improved accuracy for DWU used and CPU portal metrics**|SQL Data Warehouse significantly enhances metric accuracy in the Azure portal.  This release includes a fix to the CPU and DWU Used metric definition to properly reflect your workload across all compute nodes. Before this fix, metric values were being underreported. Expect to see an increase in the DWU used and CPU metrics in the Azure portal. |
 |**Row Level Security**|We introduced Row-level Security capability back in Nov 2017. We’ve now extended this support to external tables as well. Additionally, we’ve added support for calling non-deterministic functions in the inline table-valued functions (inline TVFs) required for defining a security filter predicate. This addition allows you to specify IS_ROLEMEMBER(), USER_NAME() etc. in the security filter predicate. For more information, please see the examples in the [Row-level Security documentation](/sql/relational-databases/security/row-level-security).|
 |**Additional T-SQL Support**|The T-SQL language surface area for SQL Data Warehouse has been extended to include support for [STRING_SPLIT (Transact-SQL)](/sql/t-sql/functions/string-split-transact-sql).
 |**Query Optimizer enhancements** |Query optimization is a critical component of any database. Making optimal choices on how to best execute a query can yield significant improvements.  When executing complex analytical queries in a distributed environment, the number of operations executed matters. Query performance has been enhanced by producing better quality plans. These plans minimize expensive data transfer operations and redundant computations such as, repeated subqueries. For more information, see this Azure SQL Data Warehouse [blog post](https://azure.microsoft.com/blog/smarter-faster-safer-azure-sql-data-warehouse-is-simply-unmatched/).|