add a note

Author: sdgilley

articles/machine-learning/how-to-trigger-published-pipeline.md

@@ -20,7 +20,7 @@ Trigger the run of your Azure Machine Learning Pipeline when new data appears. F
 
 * An Azure Machine Learning workspace. For more information, see [Create an Azure Machine Learning workspace](how-to-manage-workspace.md).
 
-* [A published Machine Learning pipeline](concept-ml-pipelines.md). [Create and publish your pipeline](how-to-create-your-first-pipeline.md). Then find the REST endpoint of your PublishedPipeline by using the pipeline ID:
+* The REST endpoint for a published Machine Learning pipeline. [Create and publish your pipeline](how-to-create-your-first-pipeline.md). Then find the REST endpoint of your PublishedPipeline by using the pipeline ID:
 
      ```
     # You can find the pipeline ID in Azure Machine Learning studio
@@ -29,7 +29,7 @@ Trigger the run of your Azure Machine Learning Pipeline when new data appears. F
     published_pipeline.endpoint 
     ```
 * [Azure blob storage](../storage/blobs/storage-blobs-overview.md) to store your data.
-* [A datastore](how-to-access-data.md) in your workspace that has the details from your blob storage account.
+* [A datastore](how-to-access-data.md) in your workspace that contains the details of your blob storage account.
 
 ## Create a Logic App
 
@@ -45,24 +45,26 @@ Now create an [Azure Logic App](../logic-apps/logic-apps-overview.md) instance.
     > [!div class="mx-imgBorder"]
     > ![Add trigger](media/how-to-trigger-published-pipeline/add-trigger.png)
 
-1. Fill in the connection info for the Blob storage account you wish to monitor for blob additions or modifications. Select the Container to monitor. This trigger will not monitor subfolders of the selected Container.
+1. Fill in the connection info for the Blob storage account you wish to monitor for blob additions or modifications. Select the Container to monitor. 
  
     Choose the **Interval** and **Frequency** to poll for updates that work for you.  
 
-1. Add an HTTP action that will run when a new or modified blob is detected. Select **+ New Step**, then search for and select the HTTP action. 
+    > [!NOTE]
+    > This trigger will monitor the selected Container but will not monitor subfolders.
+
+1. Add an HTTP action that will run when a new or modified blob is detected. Select **+ New Step**, then search for and select the HTTP action.
 
   > [!div class="mx-imgBorder"]
   > ![Search for HTTP action](media/how-to-trigger-published-pipeline/search-http.png)
 
-  Use the following settings.
-  
+  Use the following settings to configure your action:
+
   | Setting | Value | 
   |---|---|
   | HTTP action | POST |
-  | URI |the endpoint that you found at the beginning of this article |
+  | URI |the endpoint to the published pipeline that you found as a [Prerequisite](#prerequisites) |
   | Authentication mode | Managed Identity |
 
-
 1. Set up your schedule to set the value of any [DataPath PipelineParameters](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-showcasing-datapath-and-pipelineparameter.ipynb) you may have:
 
     ```json
@@ -78,7 +80,7 @@ Now create an [Azure Logic App](../logic-apps/logic-apps-overview.md) instance.
                             },
     ```
 
-    Use the `DataStoreName` you added to your workspace.
+    Use the `DataStoreName` you added to your workspace as a [Prerequisite](#prerequisites).
      
     > [!div class="mx-imgBorder"]
     > ![HTTP settings](media/how-to-trigger-published-pipeline/http-settings.png)