Update articles/machine-learning/concept-secure-online-endpoint.md

Author: msakande

articles/machine-learning/concept-secure-online-endpoint.md

@@ -133,7 +133,7 @@ Finally, if your deployment doesn't need to access private Azure resources and y
 You can use the `public_network_access` flag of your Azure Machine Learning workspace to enable or disable inbound workspace access. 
 Typically, if you secure inbound communication to your workspace (by disabling the workspace's `public_network_access` flag) you also want to secure inbound communication to your managed online endpoint.
 
-The following chart shows a typical workflow for securing inbound communication to your Azure Machine Learning workspace and your managed online endpoint. For best security, we recommend that you disable the`public_network_access` flags for the workspace and the managed online endpoint to ensure that both can't be accessed via the public internet. If the workspace doesn't have a private endpoint, you can create one, making sure to include proper DNS resolution. You can then access the managed online endpoint by using the workspace's private endpoint.
+The following chart shows a typical workflow for securing inbound communication to your Azure Machine Learning workspace and your managed online endpoint. For best security, we recommend that you disable the `public_network_access` flags for the workspace and the managed online endpoint to ensure that both can't be accessed via the public internet. If the workspace doesn't have a private endpoint, you can create one, making sure to include proper DNS resolution. You can then access the managed online endpoint by using the workspace's private endpoint.
 
 :::image type="content" source="media/concept-secure-online-endpoint/network-isolation-flowchart.png" alt-text="A screenshot showing a typical workflow for securing inbound communication to your workspace and managed online endpoint." lightbox="media/concept-secure-online-endpoint/network-isolation-flowchart.png":::