Changes based on review

Author: luisquintanilla

articles/machine-learning/how-to-debug-managed-online-endpoints-vscode.md renamed to articles/machine-learning/how-to-debug-managed-online-endpoints-visual-studio-code.md

@@ -96,7 +96,7 @@ Once your environment is setup, use the VS Code debugger to test and debug your
     - **Raised Exceptions** is **unchecked**
     - **Uncaught Exceptions** is **checked**
 
-    :::image type="content" source="media/how-to-debug-managed-online-endpoints-vscode/configure-debug-profile.png" alt-text="Configure Azure ML Debug Local Environment debug profile":::
+    :::image type="content" source="media/how-to-debug-managed-online-endpoints-visual-studio-code/configure-debug-profile.png" alt-text="Configure Azure ML Debug Local Environment debug profile":::
 
 1. Select the play icon next to the Run and Debug dropdown to start your debugging session.
 

articles/machine-learning/how-to-deploy-managed-online-endpoints.md

@@ -172,7 +172,7 @@ az ml endpoint create --local -n $ENDPOINT_NAME -f endpoints/online/managed/simp
 The `--local` flag directs the CLI to deploy the endpoint in the Docker environment.
 
 > [!TIP]
-> Use Visual Studio Code to test and debug your endpoints locally. For more information, see [debug managed online endpoints locally in Visual Studio Code](how-to-debug-managed-online-endpoints-vscode.md)
+> Use Visual Studio Code to test and debug your endpoints locally. For more information, see [debug managed online endpoints locally in Visual Studio Code](how-to-debug-managed-online-endpoints-visual-studio-code.md)
 
 ### Verify the local deployment succeeded
 

articles/machine-learning/how-to-troubleshoot-managed-online-endpoints.md

@@ -39,7 +39,7 @@ The section [HTTP status codes](#http-status-codes) explains how invocation and
 Local deployment is deploying a model to a local Docker environment. Local deployment is useful for testing and debugging before to deployment to the cloud.
 
 > [!TIP]
-> Use Visual Studio Code to test and debug your endpoints locally. For more information, see [debug managed online endpoints locally in Visual Studio Code](how-to-debug-managed-online-endpoints-vscode.md)
+> Use Visual Studio Code to test and debug your endpoints locally. For more information, see [debug managed online endpoints locally in Visual Studio Code](how-to-debug-managed-online-endpoints-visual-studio-code.md)
 
 Local deployment supports creation, update, and deletion of a local endpoint. It also allows you to invoke and get logs from the endpoint. To use local deployment, add `--local` to the appropriate CLI command:
 

articles/machine-learning/media/how-to-debug-managed-online-endpoints-vscode/configure-debug-profile.png renamed to articles/machine-learning/media/how-to-debug-managed-online-endpoints-visual-studio-code/configure-debug-profile.png

@@ -547,7 +547,7 @@
             - name: Monitoring managed online endpoints
               href: how-to-monitor-online-endpoints.md
             - name: Debug managed online endpoints locally VS Code
-              href: how-to-debug-managed-online-endpoints-vscode.md
+              href: how-to-debug-managed-online-endpoints-visual-studio-code.md
             - name: Troubleshoot managed online endpoints
               href: how-to-troubleshoot-managed-online-endpoints.md
           - name: Batch