Merge pull request #210385 from Blackmist/endpoint-studio-model-upload

Adding image

Author: v-dirichards

articles/machine-learning/how-to-use-managed-online-endpoint-studio.md

@@ -32,7 +32,7 @@ In this article, you learn how to:
 
 ## Create a managed online endpoint
 
-Use the studio to create a managed online endpoint directly in your browser. When you create a managed online endpoint in the studio, you must define an initial deployment. You cannot create an empty managed online endpoint.
+Use the studio to create a managed online endpoint directly in your browser. When you create a managed online endpoint in the studio, you must define an initial deployment. You can't create an empty managed online endpoint.
 
 1. Go to the [Azure Machine Learning studio](https://ml.azure.com).
 1. In the left navigation bar, select the **Endpoints** page.
@@ -44,16 +44,19 @@ Use the studio to create a managed online endpoint directly in your browser. Whe
 
 ### Register the model
 
-A model registration is a logical entity in the workspace that may contain a single model file, or a directory containing multiple files. The steps in this article assume that you have registered the [model folder](https://github.com/Azure/azureml-examples/tree/main/cli/endpoints/online/model-1/model) that contains the model.
+A model registration is a logical entity in the workspace that may contain a single model file, or a directory containing multiple files. The steps in this article assume that you've registered the [model folder](https://github.com/Azure/azureml-examples/tree/main/cli/endpoints/online/model-1/model) that contains the model.
 
 To register the example model using Azure Machine Learning studio, use the following steps:
 
 1. Go to the [Azure Machine Learning studio](https://ml.azure.com).
 1. In the left navigation bar, select the **Models** page.
 1. Select **Register**, and then **From local files**.
 1. Select __Unspecified type__ for the __Model type__, then select __Browse__, and __Browse folder__.
+
+    :::image type="content" source="media/how-to-create-managed-online-endpoint-studio/register-model-folder.png" alt-text="A screenshot of the browse folder option.":::
+
 1. Select the `\azureml-examples\cli\endpoints\online\model-1\model` folder from the local copy of the repo you downloaded earlier. When prompted, select __Upload__. Once the upload completes, select __Next__.
-1. Enter a friendly __Name__ for the model. The steps in this article assume it is named `model-1`.
+1. Enter a friendly __Name__ for the model. The steps in this article assume it's named `model-1`.
 1. Select __Next__, and then __Register__ to complete registration.
 
 For more information on working with registered models, see [Register and work with models](how-to-manage-models.md).
@@ -70,12 +73,12 @@ You can also create a managed online endpoint from the **Models** page in the st
     :::image type="content" source="media/how-to-create-managed-online-endpoint-studio/deploy-from-models-page.png" lightbox="media/how-to-create-managed-online-endpoint-studio/deploy-from-models-page.png" alt-text="A screenshot of creating a managed online endpoint from the Models UI.":::
 
 1. Enter an __Endpoint name__ and select __Managed__ as the compute type.
-1. Select __Next__, accepting defaults, until you are prompted for the environment. Here, select the following:
+1. Select __Next__, accepting defaults, until you're prompted for the environment. Here, select the following:
 
     * __Select scoring file and dependencies__: Browse and select the `\azureml-examples\cli\endpoints\online\model-1\onlinescoring\score.py` file from the repo you downloaded earlier.
     * __Choose an environment__ section: Select the **Scikit-learn 0.24.1** curated environment.
 
-1. Select __Next__, accepting defaults, until you are prompted to create the deployment. Select the __Create__ button.
+1. Select __Next__, accepting defaults, until you're prompted to create the deployment. Select the __Create__ button.
 
 ## View managed online endpoints
 
@@ -106,7 +109,7 @@ To use the monitoring tab, you must select "**Enable Application Insight diagnos
 
 :::image type="content" source="media/how-to-create-managed-online-endpoint-studio/monitor-endpoint.png" lightbox="media/how-to-create-managed-online-endpoint-studio/monitor-endpoint.png" alt-text="A screenshot of monitoring endpoint-level metrics in the studio.":::
 
-For more information on how viewing additional monitors and alerts, see [How to monitor managed online endpoints](how-to-monitor-online-endpoints.md).
+For more information on how viewing other monitors and alerts, see [How to monitor managed online endpoints](how-to-monitor-online-endpoints.md).
 
 ## Add a deployment to a managed online endpoint