Improving Acrolinx score

Author: v-jbasden

articles/azure-monitor/app/pre-aggregated-metrics-log-metrics.md

@@ -32,7 +32,7 @@ The newer SDKs ([Application Insights 2.7](https://www.nuget.org/packages/Micros
 
 For the SDKs that don't implement pre-aggregation (that is, older versions of Application Insights SDKs or for browser instrumentation), the Application Insights back end still populates the new metrics by aggregating the events received by the Application Insights event collection endpoint. Although you don't benefit from the reduced volume of data transmitted over the wire, you can still use the pre-aggregated metrics and experience better performance and support of the near real time dimensional alerting with SDKs that don't pre-aggregate metrics during collection.
 
-The collection endpoint pre-aggregates events before ingestion sampling. For this reason, [ingestion sampling](./sampling.md) will never affect the accuracy of pre-aggregated metrics, regardless of the SDK version you use with your application.
+The collection endpoint pre-aggregates events before ingestion sampling. For this reason, [ingestion sampling](./sampling.md) never affects the accuracy of pre-aggregated metrics, regardless of the SDK version you use with your application.
 
 ### SDK supported pre-aggregated metrics table
 
@@ -60,9 +60,12 @@ The collection endpoint pre-aggregates events before ingestion sampling. For thi
 
 ## Use pre-aggregation with Application Insights custom metrics
 
-You can use pre-aggregation with custom metrics. The two main benefits are the ability to configure and alert on a dimension of a custom metric and reducing the volume of data sent from the SDK to the Application Insights collection endpoint.
+You can use pre-aggregation with custom metrics. The two main benefits are: 
 
-There are several [ways of sending custom metrics from the Application Insights SDK](./api-custom-events-metrics.md). If your version of the SDK offers [GetMetric and TrackValue](./api-custom-events-metrics.md#getmetric), these methods are the preferred way of sending custom metrics. In this case, pre-aggregation happens inside the SDK. This approach reduces the volume of data stored in Azure and also the volume of data transmitted from the SDK to Application Insights. Otherwise, use the [trackMetric](./api-custom-events-metrics.md#trackmetric) method, which will pre-aggregate metric events during data ingestion.
+- The ability to configure and alert on a dimension of a custom metric
+- Reduce the volume of data sent from the SDK to the Application Insights collection endpoint
+
+There are several [ways of sending custom metrics from the Application Insights SDK](./api-custom-events-metrics.md). If your version of the SDK offers [GetMetric and TrackValue](./api-custom-events-metrics.md#getmetric), these methods are the preferred way of sending custom metrics. In this case, pre-aggregation happens inside the SDK. This approach reduces the volume of data stored in Azure and also the volume of data transmitted from the SDK to Application Insights. Otherwise, use the [trackMetric](./api-custom-events-metrics.md#trackmetric) method, which pre-aggregates metric events during data ingestion.
 
 ## Custom metrics dimensions and pre-aggregation