Update tutorial-optimize-indexing-push-api.md

Fixed blocking issue

Author: ShannonLeavitt

articles/search/tutorial-optimize-indexing-push-api.md

@@ -245,8 +245,8 @@ Identify which batch size is most efficient and then use that batch size in the
 
 Now that we've identified the batch size we intend to use, the next step is to begin to index the data. To index data efficiently, this sample:
 
-1. Uses multiple threads/workers
-1. Implements an exponential backoff retry strategy
+* Uses multiple threads/workers.
+* Implements an exponential backoff retry strategy.
 
 ### Use multiple threads/workers
 
@@ -387,4 +387,4 @@ You can find and manage resources in the portal, using the **All resources** or
 Now that you're familiar with the concept of ingesting data efficiently, let's take a closer look at Lucene query architecture and how full text search works in Azure Cognitive Search.
 
 > [!div class="nextstepaction"]
-> [How full text search works in Azure Cognitive Search](search-lucene-query-architecture.md)
+> [How full text search works in Azure Cognitive Search](search-lucene-query-architecture.md)