Databricks process and screenshot updates

Author: whhender

articles/data-factory/media/transform-data-using-databricks-notebook/databricks-notebook-activity-image13.png

@@ -4,7 +4,7 @@ description: "Learn how you can use the Databricks Notebook Activity in an Azure
 ms.topic: tutorial
 ms.author: abnarain
 author: nabhishek
-ms.date: 10/03/2024
+ms.date: 01/15/2025
 ms.subservice: orchestration
 ---
 
@@ -60,7 +60,7 @@ For an eleven-minute introduction and demonstration of this feature, watch the f
 
     The name of the Azure data factory must be *globally unique*. If you see the following error, change the name of the data factory (For example, use **<yourname>ADFTutorialDataFactory**). For naming rules for Data Factory artifacts, see the [Data Factory - naming rules](./naming-rules.md) article.
 
-    :::image type="content" source="./media/doc-common-process/name-not-available-error.png" alt-text="Screenshot showing the Error when a name is not available.":::
+    :::image type="content" source="./media/doc-common-process/name-not-available-error.png" alt-text="Screenshot showing the Error when a name isn't available.":::
 
 1. For **Version**, select **V2**.
 
@@ -94,11 +94,11 @@ In this section, you author a Databricks linked service. This linked service con
 
     1.  For **Name**, enter ***AzureDatabricks\_LinkedService***.
 
-    1.  Select the appropriate **Databricks workspace** that you will run your notebook in.
+    1.  Select the appropriate **Databricks workspace** that you'll run your notebook in.
 
     1.  For **Select cluster**, select **New job cluster**.
 
-    1.  For **Databrick Workspace URL**, the information should be auto-populated.
+    1.  For **Databricks Workspace URL**, the information should be autopopulated.
 
     1.  For **Authentication type**, if you select  **Access Token**, generate it from Azure Databricks workplace. You can find the steps [here](https://docs.databricks.com/administration-guide/access-control/tokens.html). For **Managed  service identity** and  **User Assigned Managed Identity**,  grant **Contributor role** to both identities  in Azure Databricks resource's *Access control* menu. 
 
@@ -142,13 +142,7 @@ In this section, you author a Databricks linked service. This linked service con
 
        1. Create a **New Folder** in Workplace and call it as **adftutorial**.
 
-          :::image type="content" source="media/transform-data-using-databricks-notebook/databricks-notebook-activity-image13.png" alt-text="Screenshot showing how to create a new folder.":::        
-
-       1. [Screenshot showing how to create a new notebook.](https://docs.databricks.com/user-guide/notebooks/index.html#creating-a-notebook) (Python), let’s call it **mynotebook** under **adftutorial** Folder, click **Create.**
-
-          :::image type="content" source="media/transform-data-using-databricks-notebook/databricks-notebook-activity-image14.png" alt-text="Screenshot showing how to create a new notebook.":::  
-
-          :::image type="content" source="media/transform-data-using-databricks-notebook/databricks-notebook-activity-image15.png" alt-text="Screenshot showing how to set the properties of the new notebook.":::
+       1. [Create a new notebook](https://docs.databricks.com/notebooks/notebooks-manage.html#create-a-notebook-in-any-folder), let’s call it **mynotebook**. Right-click the **adftutorial** Folder, and select **Create.**
 
        1. In the newly created notebook "mynotebook'" add the following code:
 
@@ -161,8 +155,6 @@ In this section, you author a Databricks linked service. This linked service con
            print (y)
            ```
 
-          :::image type="content" source="media/transform-data-using-databricks-notebook/databricks-notebook-activity-image16.png" alt-text="Screenshot showing how to create widgets for parameters."::: 
-
        1. The **Notebook Path** in this case is **/adftutorial/mynotebook**.
 
 1.  Switch back to the **Data Factory UI authoring tool**. Navigate to **Settings** Tab under the **Notebook1** activity.
@@ -207,13 +199,9 @@ The **Pipeline run** dialog box asks for the **name** parameter. Use **/path/fil
 
 ## Verify the output
 
-You can log on to the **Azure Databricks workspace**, go to **Clusters** and you can see the **Job** status as *pending execution, running, or terminated*.
-
-:::image type="content" source="media/transform-data-using-databricks-notebook/databricks-notebook-activity-image24.png" alt-text="Screenshot showing how to view the job cluster and the job."::: 
-
-You can click on the **Job name** and navigate to see further details. On successful run, you can validate the parameters passed and the output of the Python notebook.
+You can log on to the **Azure Databricks workspace**, go to **Job Runs** and you can see the **Job** status as *pending execution, running, or terminated*.
 
-:::image type="content" source="media/transform-data-using-databricks-notebook/databricks-output.png" alt-text="Screenshot showing how to view the run details and output."::: 
+You can select the **Job name** and navigate to see further details. On successful run, you can validate the parameters passed and the output of the Python notebook.
 
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