Merge pull request #223364 from sdgilley/sdg-main

download config file from workspace

Author: Stacyrch140

articles/machine-learning/how-to-configure-environment.md

@@ -54,11 +54,14 @@ To use this file from your code, use the [`MLClient.from_config`](/python/api/az
 
 Create a workspace configuration file in one of the following methods:
 
-* Azure portal
+* Azure Machine Learning studio
 
-    **Download the file**: In the [Azure portal](https://portal.azure.com), select  **Download config.json** from the **Overview** section of your workspace.
+    **Download the file**: 
+    1. Sign in to [Azure Machine Learning studio](https://ml.azure.com)
+    1. In the upper right Azure Machine Learning studio toolbar, select your workspace name.
+    1. Select the **Download config file** link.
 
-    ![Azure portal](./media/how-to-configure-environment/configure.png)
+    :::image type="content" source="media/how-to-configure-environment/configure.png" alt-text="Screenshot shows how to download your config file." lightbox="media/how-to-configure-environment/configure.png":::
 
 * Azure Machine Learning Python SDK
 

articles/machine-learning/media/how-to-configure-environment/configure.png

@@ -55,7 +55,7 @@ Create a *compute instance* to use this development environment for the rest of
 1. If you didn't just create a workspace in the previous section, sign in to [Azure Machine Learning studio](https://ml.azure.com) now, and select your workspace.
 1. On the left side, select **Compute**.
 
-    :::image type="content" source="media/quickstart-create-resources/compute-section.png" alt-text="Screenshot: shows Compute section on left hand side of screen.":::
+    :::image type="content" source="media/quickstart-create-resources/compute-section.png" alt-text="Screenshot: shows Compute section on left hand side of screen." lightbox="media/quickstart-create-resources/compute-section.png":::
 
 1. Select **+New** to create a new compute instance.
 1. Supply a name, Keep all the defaults on the first page.