updated typeahead images

Author: PeterTurcan

articles/search/media/tutorial-csharp-create-first-app/azure-search-suggest-autocomplete.png

@@ -1,6 +1,6 @@
 ---
-title: C# Tutorial on the use of facets to improve network efficiency - Azure Search
-description: This tutorial builds on the "Search results pagination - Azure Search" project, to add facet searches. Learn that facets are used in autocompletion, and only need to be retrieved once when a page is loaded, rather than on each key event.
+title: C# Tutorial on using facets for navigation and network efficiency - Azure Search
+description: This tutorial builds on the "Search results pagination - Azure Search" project, to add facet searches. Learn that facets can be used in both navigation and autocompletion. Facets only need to be retrieved once when a page is loaded, rather than on each key event.
 services: search
 ms.service: search
 ms.topic: tutorial
@@ -9,7 +9,7 @@ author: PeterTurcan
 ms.date: 05/01/2019
 ---
 
-# C# Tutorial: Use facets to improve network efficiency - Azure Search
+# C# Tutorial: Use facets for navigation and network efficiency - Azure Search
 
 Learn how to improve network efficiency by implementing a facet search. Facet searches are efficient because they are carried out only once for each page load, rather than once for each keystroke. Facets are attributes of the data (such as a pool, wifi, free parking, view, and so on, in our hotels data), and stay relevant for the lifespan of a page. This tutorial builds onto the paging project created in the [C# Tutorial: Search results pagination - Azure Search](tutorial-csharp-paging.md) tutorial.
 

articles/search/media/tutorial-csharp-create-first-app/azure-search-suggest-autocompletebasic.png

@@ -232,7 +232,7 @@ Another variation that is slightly different from suggestions is autocompletion
             // Convert the autocompleteResult results to a list that can be displayed in the client.
             List<string> autocomplete = autocompleteResult.Results.Select(x => x.Text).ToList();
 
-            return new JsonResult((object)autocomplete);
+            return new JsonResult(autocomplete);
         }
 ```
 
@@ -430,7 +430,7 @@ Notice the clever use of the **interval** function to both clear the underlying
 Read through the comments in the script to get a fuller understanding.
 
 
-4. Finally, we need to make a minor adjustments to two HTML class to make them transparent. Add the following line to the **searchBoxForm**, and **searchBox**, classes in the hotels.css file.
+4. Finally, we need to make a minor adjustments to two HTML class to make them transparent. Add the following line to the **searchBoxForm** and **searchBox** classes, in the hotels.css file.
 
 ```cs
             background: rgba(0,0,0,0);
@@ -458,4 +458,4 @@ Consider the following takeaways from this project:
 One of the issues with autocompletion and suggestions is that they involve repeated calls to the server (one on every key stroke after the minimum number of characters typed is reached). If this results in slower than expected responses, then the user experience diminishes. Using facets provides an interesting alternative to avoid these repeated calls, which we will look at next.
 
 > [!div class="nextstepaction"]
-> [C# Tutorial: Use facets to improve network efficiency - Azure Search](tutorial-csharp-facets.md)
+> [C# Tutorial: Use facets for navigation and network efficiency - Azure Search](tutorial-csharp-facets.md)