Merge pull request #276514 from laujan/patch-1

Update python-sdk.md

Author: prmerger-automator[bot]

articles/ai-services/document-intelligence/quickstarts/includes/python-sdk.md

@@ -122,7 +122,6 @@ Extract text, selection marks, text styles, table structures, and bounding regio
 >
 > * For this example, you'll need a **document file from a URL**. You can use our [sample document](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/sample-layout.pdf) for this quickstart.
 > * We've added the file URL value to the `formUrl` variable in the `analyze_layout` function.
-> * To analyze a given file at a URL, you'll use the `begin_analyze_document_from_url` method and pass in `prebuilt-layout` as the model Id. The returned value is a `result` object containing data about the submitted document.
 
 :::moniker range="doc-intel-4.0.0"
 
@@ -250,6 +249,8 @@ After you add a code sample to your application, build and run your program:
 
 :::moniker range="doc-intel-3.1.0"
 
+To analyze a given file at a URL, you'll use the `begin_analyze_document_from_url` method and pass in `prebuilt-layout` as the model Id. The returned value is a `result` object containing data about the submitted document.
+
 **Add the following code sample to your form_recognizer_quickstart.py application. Make sure you update the key and endpoint variables with values from your Azure portal Form Recognizer instance:**
 
 ```python
@@ -276,7 +277,7 @@ def analyze_layout():
         endpoint=endpoint, credential=AzureKeyCredential(key)
     )
 
-    poller = document_analysis_client.begin_analyze_document(
+    poller = document_analysis_client.begin_analyze_document_from_url(
             "prebuilt-layout", formUrl)
     result = poller.result()
 
@@ -532,7 +533,6 @@ Analyze and extract common fields from specific document types using a prebuilt
 >
 > * Analyze an invoice using the prebuilt-invoice model. You can use our [sample invoice document](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/sample-invoice.pdf) for this quickstart.
 > * We've added the file URL value to the `invoiceUrl` variable at the top of the file.
-> * To analyze a given file at a URI, you'll use the `begin_analyze_document_from_url` method and pass `prebuilt-invoice` as the model Id. The returned value is a `result` object containing data about the submitted document.
 > * For simplicity, all the key-value pairs that the service returns are not shown here. To see the list of all supported fields and corresponding types, see our [Invoice](../../concept-invoice.md#field-extraction) concept page.
 
 :::moniker range="doc-intel-4.0.0"
@@ -778,6 +778,8 @@ After you add a code sample to your application, build and run your program:
 
 :::moniker range="doc-intel-3.1.0"
 
+To analyze a given file at a URI, you'll use the `begin_analyze_document_from_url` method and pass `prebuilt-invoice` as the model Id. The returned value is a `result` object containing data about the submitted document.
+
 **Add the following code sample to your form_recognizer_quickstart.py application. Make sure you update the key and endpoint variables with values from your Azure portal Form Recognizer instance:**
 
 ```python