Acrolinx score update

Author: code-sidd

articles/mysql/flexible-server/concepts-monitoring.md

@@ -61,16 +61,16 @@ These metrics are available for Azure Database for MySQL:
 |Com_select|Com_select|Count|The total count of select statements that has been executed on your server in the selected time range.|
 |Com_update|Com_update|Count|The total count of update statements that has been executed on your server in the selected time range.|
 |Com_insert|Com_insert|Count|The total count of insert statements that has been executed on your server in the selected time range.|
-|Com_delete|Com_delete|Count|The total count of delete statements that has been executed on your server in the selected time range.|
+|Com_delete|Com_delete|Count|The total count of delete statements that have been executed on your server in the selected time range.|
 
 
 ### DDL statistics
 
 |Metric display name|Metric|Unit|Description|
 |---|---|---|---|
-|Com_create_db|Com_create_db|Count|The total count of create database statements that has been executed on your server in the selected time range.|
+|Com_create_db|Com_create_db|Count|The total count of create database statements that have been executed on your server in the selected time range.|
 |Com_drop_db|Com_drop_db|Count|The total count of drop database statements that has been executed on your server in the selected time range.|
-|Com_create_table|Com_create_table|Count|The total count of create table statements that has been executed on your server in the selected time range.|
+|Com_create_table|Com_create_table|Count|The total count of create table statements that have been executed on your server in the selected time range.|
 |Com_drop_table|Com_drop_table|Count|The total count of drop table statements that has been executed on your server in the selected time range.|
 |Com_Alter|Com_Alter|Count|The total count of alter table statements that has been executed on your server in the selected time range.|
 
@@ -79,7 +79,7 @@ These metrics are available for Azure Database for MySQL:
 
 |Metric display name|Metric|Unit|Description|
 |---|---|---|---|
-|Innodb_buffer_pool_reads|Innodb_buffer_pool_reads|Count|The total count of logical reads that InnoDB engine could not satisfy from the Innodb buffer pool, and had to be fetched from the disk.|
+|Innodb_buffer_pool_reads|Innodb_buffer_pool_reads|Count|The total count of logical reads that InnoDB engine couldn't satisfy from the Innodb buffer pool, and had to be fetched from the disk.|
 |Innodb_buffer_pool_read_requests|Innodb_buffer_pool_read_requests|Count|The total count of logical read requests to read from the Innodb Buffer pool.|
 |Innodb_buffer_pool_pages_free|Innodb_buffer_pool_pages_free|Count|The total count of free pages in InnoDB buffer pool.|
 |Innodb_buffer_pool_pages_data|Innodb_buffer_pool_pages_data|Count|The total count of pages in the InnoDB buffer pool containing data. The number includes both dirty and clean pages.|

articles/mysql/flexible-server/whats-new.md

@@ -30,15 +30,15 @@ This article summarizes new releases and features in Azure Database for MySQL -
 
 - **Autoscale IOPS in Azure Database for MySQL - Flexible Server**
 
-  You can now scale IOPS on demand without having to pre-provision a certain amount of IOPS. With this feature, you can now enjoy worry free IO management in Azure Database for MySQL - Flexible Server because the server scales IOPs up or down automatically depending on workload needs. With this feature you pay only for the IO you use and no longer need to provision and pay for resources they aren’t fully using, saving both time and money. In addition, mission-critical Tier-1 applications can achieve consistent performance by making additional IO available to the workload at any time. Auto scale IO eliminates the administration required to provide the best performance at the least cost for Azure Database for MySQL customers. [Learn more](./concepts-service-tiers-storage.md)
+  You can now scale IOPS on demand without having to pre-provision a certain amount of IOPS. With this feature, you can now enjoy worry free IO management in Azure Database for MySQL - Flexible Server because the server scales IOPs up or down automatically depending on workload needs. With this feature you, pay only for the IO you use and no longer need to provision and pay for resources they aren’t fully using, saving both time and money. In addition, mission-critical Tier-1 applications can achieve consistent performance by making additional IO available to the workload at any time. Auto scale IO eliminates the administration required to provide the best performance at the least cost for Azure Database for MySQL customers. [Learn more](./concepts-service-tiers-storage.md)
 
 - **Perform Major version upgrade with minimal efforts for Azure Database for MySQL - Flexible Server (Preview)**
 
   The major version upgrade feature allows you to perform in-place upgrades of existing instances of Azure Database for MySQL - Flexible Server from MySQL 5.7 to MySQL 8.0 with the click of a button, without any data movement or the need to make any application connection string changes. Take advantage of this functionality to efficiently perform major version upgrades on your instances of Azure Database for MySQL - Flexible Server and leverage the latest that MySQL 8.0 has to offer. Learn [more](./how-to-upgrade.md).
 
 - **MySQL extension for Azure Data Studio (Preview)**
 
-  When you’re working with multiple databases across data platforms and cloud deployment models, being able to perform the most common tasks on all your databases using a single tool enhances your productivity severalfold. With the MySQL extension for Azure Data Studio, you can now connect to and modify MySQL databases along with your other databases, taking advantage of the modern editor experience and capabilities in Azure Data Studio, such as IntelliSense, code snippets, source control integration, native Jupyter Notebooks, an integrated terminal, and more. Use this new tooling with any MySQL server hosted on-premises, on virtual machines, on managed MySQL in other clouds, and on Azure Database for MySQL – Flexible Server. Learn [more](/sql/azure-data-studio/quickstart-mysql).
+  When you’re working with multiple databases across data platforms and cloud deployment models, being able to perform the most common tasks on all your databases using a single tool enhances your productivity several fold. With the MySQL extension for Azure Data Studio, you can now connect to and modify MySQL databases along with your other databases, taking advantage of the modern editor experience and capabilities in Azure Data Studio, such as IntelliSense, code snippets, source control integration, native Jupyter Notebooks, an integrated terminal, and more. Use this new tooling with any MySQL server hosted on-premises, on virtual machines, on managed MySQL in other clouds, and on Azure Database for MySQL – Flexible Server. Learn [more](/sql/azure-data-studio/quickstart-mysql).
 
 - **Known issues**