clarify SAS usage

Author: PatrickFarley

articles/cognitive-services/form-recognizer/quickstarts/curl-train-extract.md

@@ -27,7 +27,7 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 To complete this quickstart, you must have:
 - Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form.
 - [cURL](https://curl.haxx.se/windows/) installed.
-- A set of at least six forms of the same type. You will use five of these to train the model, and then you'll test it with the sixth form. Your forms can be of different file types but must be the same type of document. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the files to the root of a blob storage container in an Azure Storage account, and keep the training files and testing files in different subfolders.
+- A set of at least six forms of the same type. You will use five of these to train the model, and then you'll test it with the sixth form. Your forms can be of different file types but must be the same type of document. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the training files to the root of a blob storage container in an Azure Storage account. You can put the testing files in a separate folder.
 
 ## Create a Form Recognizer resource
 
@@ -44,7 +44,6 @@ To train a Form Recognizer model with the documents in your Azure blob container
 
 1. Replace `<Endpoint>` with the endpoint that you obtained with your Form Recognizer subscription.
 1. Replace `<subscription key>` with the subscription key you copied from the previous step.
-1. TBD path to form
 1. Replace `<SAS URL>` with the Azure Blob storage container's shared access signature (SAS) URL. To retrieve the SAS URL, open the Microsoft Azure Storage Explorer, right-click your container, and select **Get shared access signature**. Make sure the **Read** and **List** permissions are checked, and click **Create**. Then copy the value in the **URL** section. It should have the form: `https://<storage account>.blob.core.windows.net/<container name>?<SAS value>`.
 
 ```bash
@@ -141,8 +140,7 @@ Next, you'll use your newly trained model to analyze a document and extract key-
 
 1. Replace `<Endpoint>` with the endpoint that you obtained from your Form Recognizer subscription key. You can find it on your Form Recognizer resource **Overview** tab.
 1. Replace `<model ID>` with the model ID that you received in the previous section.
-1. Replace `<SAS URL>` with the Azure Blob storage container's shared access signature (SAS) URL.
-1. TBD REWRITE   : Replace `<path to your form>` with the file path of your form (for example, C:\temp\file.pdf). This can also be a URL to a remote file. For this quickstart, you can use the files under the **Test** folder of the [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451).
+1. Replace `<SAS URL>` with an SAS URL to your file in Azure storage. Follow the steps in the Training section, but instead of getting a SAS URL for the whole blob container, get one for the specific file you want to analyze.
 1. Replace `<subscription key>` with your subscription key.
 
 ```bash