Merge pull request #100641 from kraigb/kraigb-edits

Update Functions CLI quickstart according to best practices

Author: American-Dipper

.openpublishing.publish.config.json

@@ -146,6 +146,12 @@
       "url": "https://github.com/Azure/azure-functions-durable-extension",
       "branch": "master"
     },
+    {
+      "path_to_root": "functions-python-tensorflow-tutorial",
+      "url": "https://github.com/Azure-Samples/functions-python-tensorflow-tutorial",
+      "branch": "master",
+      "branch_mapping": {}
+    },    
     {
       "path_to_root": "samples-personalizer",
       "url": "https://github.com/Azure-Samples/cognitive-services-personalizer-samples",

articles/azure-functions/functions-add-output-binding-storage-queue-python.md

@@ -821,7 +821,7 @@ The key can be included in a query string variable named `code`, as above. It ca
 You can allow anonymous requests, which do not require keys. You can also require that the master key be used. You change the default authorization level by using the `authLevel` property in the binding JSON. For more information, see [Trigger - configuration](#trigger---configuration).
 
 > [!NOTE]
-> When running functions locally, authorization is disabled regardless of the specified authorization level setting. After publishing to Azure, the `authLevel` setting in your trigger is enforced. Keys are still required when running [locally in a container](functions-create-function-linux-custom-image.md#run-the-image-locally).
+> When running functions locally, authorization is disabled regardless of the specified authorization level setting. After publishing to Azure, the `authLevel` setting in your trigger is enforced. Keys are still required when running [locally in a container](functions-create-function-linux-custom-image.md#build-the-container-image-and-test-locally).
 
 
 ### Secure an HTTP endpoint in production

articles/azure-functions/functions-bindings-http-webhook.md

@@ -113,7 +113,7 @@ You can deploy a Linux container image that contains your function app.
 >__How to use it:__ Create a Linux function app in the Premium or Dedicated plan and specify which container image to run from. You can do this in two ways:
 >
 >* Create a Linux function app on an Azure App Service plan in the Azure portal. For **Publish**, select **Docker Image**, and then configure the container. Enter the location where the image is hosted.
->* Create a Linux function app on an App Service plan by using the Azure CLI. To learn how, see [Create a function on Linux by using a custom image](functions-create-function-linux-custom-image.md#create-a-premium-plan).
+>* Create a Linux function app on an App Service plan by using the Azure CLI. To learn how, see [Create a function on Linux by using a custom image](functions-create-function-linux-custom-image.md#create-supporting-azure-resources-for-your-function).
 >
 >To deploy to an existing app by using a custom container, in [Azure Functions Core Tools](functions-run-local.md), use the [`func deploy`](functions-run-local.md#publish) command.