Corrected en-us issue

Corrected en-us issue

Author: Danimir Ljepava

articles/sql-database/sql-database-automatic-tuning.md

@@ -62,7 +62,7 @@ Automatic tuning options available in Azure SQL Database are:
  2. **DROP INDEX** - identifies redundant and duplicate indexes daily, and indexes that were not used for a long time (>90 days). Note that this option is not compatible with applications using partition switching and index hints.
  3. **FORCE LAST GOOD PLAN** - identifies SQL queries using execution plan that is slower than the previous good plan, and queries using the last known good plan instead of the regressed plan.
 
-Automatic tuning identifies **CREATE INDEX**, **DROP INDEX**, and **FORCE LAST GOOD PLAN** recommendations that can optimize your database performance and shows them in [Azure portal](sql-database-advisor-portal.md), and exposes them through [T-SQL](https://docs.microsoft.com/en-us/sql/t-sql/statements/alter-database-transact-sql-set-options?view=azuresqldb-current) and [REST API](https://docs.microsoft.com/en-us/rest/api/sql/serverautomatictuning).
+Automatic tuning identifies **CREATE INDEX**, **DROP INDEX**, and **FORCE LAST GOOD PLAN** recommendations that can optimize your database performance and shows them in [Azure portal](sql-database-advisor-portal.md), and exposes them through [T-SQL](https://docs.microsoft.com/sql/t-sql/statements/alter-database-transact-sql-set-options?view=azuresqldb-current) and [REST API](https://docs.microsoft.com/rest/api/sql/serverautomatictuning).
 
 You can either manually apply tuning recommendations using the portal or you can let Automatic tuning autonomously apply tuning recommendations for you. The benefits of letting the system autonomously apply tuning recommendations for you is that in such case it automatically validates there exists a positive gain to the workload performance, or otherwise if a regression is detected it will automatically revert the tuning recommendation. In case you are manually applying tuning recommendations, the automatic performance validation, and reversal mechanisms are not available.
 
@@ -74,7 +74,7 @@ Configuring Automatic tuning options on a server and inheriting settings for dat
 
 - To enable automatic tuning in Azure SQL Database to manage your workload, see [Enable automatic tuning](sql-database-automatic-tuning-enable.md).
 - To manually review and apply Automatic tuning recommendations, see [Find and apply performance recommendations](sql-database-advisor-portal.md).
-- To learn how to use T-SQL to apply and view Automatic tuning recommendations, see [Manage automatic tuning via T-SQL](https://azure.microsoft.com/en-us/blog/automatic-tuning-introduces-automatic-plan-correction-and-t-sql-management/).
+- To learn how to use T-SQL to apply and view Automatic tuning recommendations, see [Manage automatic tuning via T-SQL](https://azure.microsoft.com/blog/automatic-tuning-introduces-automatic-plan-correction-and-t-sql-management/).
 - To learn about building email notifications for Automatic tuning recommendations, see [Email notifications for automatic tuning](sql-database-automatic-tuning-email-notifications.md).
 - To learn about built-in intelligence used in Automatic tuning, see [Artificial Intelligence tunes Azure SQL Databases](https://azure.microsoft.com/blog/artificial-intelligence-tunes-azure-sql-databases/).
 - To learn about how Automatic tuning works in Azure SQL Database and SQL server 2017, see [SQL Server automatic tuning](https://docs.microsoft.com/sql/relational-databases/automatic-tuning/automatic-tuning).