Merge pull request #48914 from MicrosoftDocs/repo_sync_working_branch

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

Author: huypub

articles/cognitive-services/text-analytics/tutorials/tutorial-power-bi-key-phrases.md

@@ -90,7 +90,7 @@ Now we're ready to create the custom function that will integrate Power BI and T
 The function receives the text to be processed as a parameter. It converts data to and from the required JavaScript Object Notation (JSON) and makes the HTTP request to the Key Phrases API endpoint. After parsing the response, the function returns a string containing a comma-separated list of the extracted key phrases.
 
 > [!NOTE]
-> Power BI Desktop custom functions are written in the [Power Query M formula language](https://msdn.microsoft.com/library/mt211003.aspx), or just "M" for short. M is a functional programming language based on [F#](http://www.tryfsharp.org/). You don't need to be a programmer to finish this tutorial, though; the required code is included below.
+> Power BI Desktop custom functions are written in the [Power Query M formula language](https://msdn.microsoft.com/library/mt211003.aspx), or just "M" for short. M is a functional programming language based on [F#](https://docs.microsoft.com/dotnet/fsharp/). You don't need to be a programmer to finish this tutorial, though; the required code is included below.
 
 You should still be in the Query Editor window. From the Home ribbon, click **New Source** (in the New Query group) and choose **Blank Query** from the drop-down menu. 
 

articles/service-fabric-mesh/service-fabric-mesh-quickstart-deploy-container.md

@@ -46,14 +46,14 @@ Create your application in the resource group using the `az mesh deployment crea
 ```azurecli-interactive
 az mesh deployment create --resource-group myResourceGroup --template-uri https://sfmeshsamples.blob.core.windows.net/templates/helloworld/mesh_rp.linux.json --parameters "{\"location\": {\"value\": \"eastus\"}}" 
 ```
-The preceding command deploys a Linux using [mesh_rp.linux.json template](https://sfmeshsamples.blob.core.windows.net/templates/helloworld/mesh_rp.linux.json). If you want to deploy a Windows application, use [mesh_rp.windows.json template](https://sfmeshsamples.blob.core.windows.net/templates/helloworld/mesh_rp.windows.json). Windows container images are larger than Linux container images and may take more time to deploy.
+The preceding command deploys a Linux application using [mesh_rp.linux.json template](https://sfmeshsamples.blob.core.windows.net/templates/helloworld/mesh_rp.linux.json). If you want to deploy a Windows application, use [mesh_rp.windows.json template](https://sfmeshsamples.blob.core.windows.net/templates/helloworld/mesh_rp.windows.json). Windows container images are larger than Linux container images and may take more time to deploy.
 
 In a few minutes, the command returns:
 
 `helloWorldApp has been deployed successfully on helloWorldNetwork with public ip address <IP Address>` 
 
 ## Open the application
-Once the application successfully deploys, copy the public IP address for the service endpoint from the CLI output.  Open the IP address in a web browser. A web page with the Azure Service Fabric Mesh logo displays.
+Once the application successfully deploys, copy the public IP address for the service endpoint from the CLI output. Open the IP address in a web browser. A web page with the Azure Service Fabric Mesh logo displays.
 
 ## Check the application details
 You can check the application's status using the `az mesh app show` command. This command provides useful information that you can follow up on.

articles/stream-analytics/stream-analytics-test-query.md

@@ -24,9 +24,7 @@ By using Azure Stream Analytics, you can upload sample data and test queries in
 
 3. On the Stream Analytics job page, under the **Job Topology** heading, select **Query** to open the Query editor window. 
 
-4. To test your query with sample input data, right-click on any of your inputs.  Then select **Upload sample data from file**.
-
-   The data must be JSON formatted data only. If your data is in a different format such as CSV, you should convert it to JSON before uploading. You can use any opensource conversion tool such as [CSV to JSON convertor](http://www.convertcsv.com/csv-to-json.htm) to convert your data to JSON.
+4. To test your query with sample input data, right-click on any of your inputs.  Then select **Upload sample data from file**. The data must be serialized in JSON, CSV or AVRO.
 
     ![stream analytics query editor test query](media/stream-analytics-test-query/stream-analytics-test-query-editor-upload.png)