More editorial comments

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

_dashboards/management/scheduled-query-acceleration.md

@@ -40,7 +40,7 @@ Before configuring SQA, verify that the following requirements are met:
 
 - Ensure you're running OpenSearch version 2.17 or later.
 - Ensure you have the SQL plugin installed. The SQL plugin is included in most OpenSearch distributions. For more information, see [Installing plugins]({{site.url}}{{site.baseurl}}/install-and-configure/plugins/).
-- Ensure you have configured a data source (in this example, Amazon S3): Configure a skipping index, covering index, or materialized view. These secondary data sources are additional data structures that improve query performance by optimizing queries sent to  external data sources, such as Amazon S3. For more information, see [Optimizing query performance using OpenSearch indexing]({{site.url}}{{site.baseurl}}/dashboards/management/accelerate-external-data/).
+- Ensure you have configured a data source (in this example, Amazon S3): Configure a skipping index, covering index, or materialized view. These secondary data sources are additional data structures that improve query performance by optimizing queries sent to external data sources, such as Amazon S3. For more information, see [Optimizing query performance using OpenSearch indexing]({{site.url}}{{site.baseurl}}/dashboards/management/accelerate-external-data/).
 - Configure Amazon EMR Serverless (needed for access to Apache Spark). 
 
 ## Configuring SQA settings
@@ -135,7 +135,7 @@ Use the following commands to manage scheduled jobs.
 
 ### Enabling jobs
 
-To disable auto refresh using an internal or external scheduler, set `auto_refresh` to `false`:
+To disable auto-refresh using an internal or external scheduler, set `auto_refresh` to `false`:
 
 ```sql
 ALTER MATERIALIZED VIEW myglue_test.default.count_by_status_v9 WITH (auto_refresh = false);
@@ -178,7 +178,7 @@ We recommend the following best practices when using SQA.
 
 - **Recommended refresh intervals**: Choosing the right refresh interval is crucial for balancing resource usage and system performance. Consider your workload requirements and the freshness of the data you need when setting intervals.
 
-- **Concurrent job limits**: Limit the number of concurrent running jobs running to avoid overloading system resources. Monitor system capacity and adjust job limits accordingly to ensure optimal performance.
+- **Concurrent job limits**: Limit the number of concurrent running jobs to avoid overloading system resources. Monitor system capacity and adjust job limits accordingly to ensure optimal performance.
 
 - **Resource usage**: Efficient resource allocation is key to maximizing performance. Properly allocate memory, CPU, and I/O based on the workload and the type of queries you're running.