incorporating feedback

Author: Blackmist

articles/machine-learning/how-to-azureml-inference-server-http.md renamed to articles/machine-learning/how-to-inference-server-http.md

@@ -123,7 +123,7 @@ The following table contains the parameters accepted by the server:
 | port | False | 5001 | The serving port of the server.|
 | worker_count | False | 1 | The number of worker threads that will process concurrent requests. |
 
-## Request Flow
+## Request flow
 
 The following steps explain how the Azure Machine Learning inference HTTP server works handles incoming requests:
 
@@ -135,7 +135,7 @@ The following steps explain how the Azure Machine Learning inference HTTP server
 1. The requests are then handled by a [Flask](https://flask.palletsprojects.com/) app, which loads the entry script & any dependencies.
 1. Finally, the request is sent to your entry script. The entry script then makes an inference call to the loaded model and returns a response.
 
-:::image type="content" source="./media/how-to-azureml-inference-server-http/azureml-inference-server-arch.png" alt-text="Diagram of the HTTP server process":::
+:::image type="content" source="./media/how-to-inference-server-http/inference-server-architecture.png" alt-text="Diagram of the HTTP server process":::
 ## Frequently asked questions
 
 ### Do I need to reload the server when changing the score script?