Merge pull request #293843 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to main to sync with https://github.com/MicrosoftDocs/azure-docs (branch main)

Author: v-alje

articles/app-service/monitor-instances-health-check.md

@@ -157,7 +157,7 @@ Once diagnostic collection is enabled, you can create a storage account or choos
 
 ## Monitoring
 
-After providing your application's Health check path, you can monitor the health of your site using Azure Monitor. From the **Health check** blade in the portal, select **Metrics** in the top toolbar. This opens a new blade where you can see the site's health status history and create a new alert rule. Health check metrics aggregate the successful pings and display failures only when the instance was deemed unhealthy based on the Health check configuration. For more information on monitoring your sites, see [Azure App Service quotas and alerts](web-sites-monitor.md).
+After providing your application's Health check path, you can monitor the health of your site using Azure Monitor. From the **Health check** blade in the portal, select **Metrics** in the top toolbar. This opens a new blade where you can see the site's health check status history and create a new alert rule. Health check status metric aggregate the successful pings and display failures only when the instance was deemed unhealthy based on the Health Check Load balancing threshold value configured. By default this value is set to 10 minutes, so it takes 10 consecutive pings (1 per minute) for a given instance to be deemed unhealthy and only then will it be reflected on the metric. For more information on monitoring your sites, see [Azure App Service quotas and alerts](web-sites-monitor.md).
 
 ## Limitations
 

articles/synapse-analytics/get-started-analyze-storage.md

@@ -51,7 +51,7 @@ You can analyze the data in your workspace default Azure Data Lake Storage (ADLS
     display(df.limit(10))
     ```
 
-1. Attach to the Spark pool named **Spark1**. Run the cell. If you run into an error related to lack of cores, another session could be using this spark pool this spark pool. Cancel all the existing sessions and retry.
+1. Attach to the Spark pool named **Spark1**. Run the cell. If you run into an error related to lack of cores, another session could be using this spark pool. Cancel all the existing sessions and retry.
 1. Select back to the **users** folder. Right-click the **.parquet** file again, and then select **New SQL script** > **SELECT TOP 100 rows**. It creates a SQL script like this:
 
     ```sql