Edit cleanup include

Author: cdpark

articles/machine-learning/includes/aml-ui-cleanup.md

@@ -17,28 +17,22 @@ ms.date: 11/06/2019
 
 If you don't plan to use anything that you created, delete the entire resource group so you don't incur any charges.
 
-1. In the Azure portal, select **Resource groups** on the left side of the window.
+1. In the [Azure portal](https://portal.azure.com), select **Resource groups** under **Azure services**.
 
-   ![Delete resource group in the Azure portal](./media/aml-ui-cleanup/delete-resources.png)
-
-1. In the list, select the resource group that you created.
+1. Select the resource group that you created.
 
 1. Select **Delete resource group**.
 
-Deleting the resource group also deletes all resources that you created in the designer. 
+   :::image type="content" source="./media/aml-ui-cleanup/delete-resources.png" alt-text="Screenshot that shows the button to delete resource group in the Azure portal.":::
+
+Deleting the resource group also deletes all resources that you created in the designer.
 
 ### Delete individual assets
 
 In the designer where you created your experiment, delete individual assets by selecting them and then selecting the **Delete** button.
 
 The compute target that you created here *automatically autoscales* to zero nodes when it's not being used. This action is taken to minimize charges. If you want to delete the compute target, take these steps:
 
-![Delete assets](./media/aml-ui-cleanup/delete-asset.png)
-
-You can unregister datasets from your workspace by selecting each dataset and selecting **Unregister**.
-
-![Unregister dataset](./media/aml-ui-cleanup/unregister-dataset1225.png)
+:::image type="content" source="./media/aml-ui-cleanup/delete-asset.png" alt-text="Screenshot that shows how to delete assets.":::
 
 To delete a dataset, go to the storage account by using the Azure portal or Azure Storage Explorer and manually delete those assets.
-
-

articles/machine-learning/includes/media/aml-ui-cleanup/delete-asset.png

@@ -9,7 +9,7 @@ ms.topic: sample
 ms.reviewer: lgayhardt
 author: likebupt
 ms.author: keli19
-ms.date: 06/05/2025
+ms.date: 06/25/2025
 ms.custom: UpdateFrequency5, designer
 ---
 
@@ -39,7 +39,7 @@ Here's how to use a designer sample:
 
 1. Select **Create a new pipeline using classic prebuilt components** to create a new pipeline.
 
-1. To the left of the pipeline canvas, select the **Component** tab for a complete list of sample pipelines in various categories.
+1. Select **Show more samples** for a complete list of samples.
 
 1. To run a pipeline, you first need to set a default compute target to run the pipeline on.
 
@@ -49,7 +49,7 @@ Here's how to use a designer sample:
 
    1. Select **Configure & Submit** at the top of the canvas to submit a pipeline job.
 
-   Depending on the sample pipeline and compute settings, jobs might take some time to complete. The default compute settings have a minimum node size of 0, which means that the designer must allocate resources after being idle. Repeated pipeline jobs take less time since the compute resources are already allocated. Additionally, the designer uses cached results for each component to further improve efficiency.
+   Depending on the sample pipeline and compute settings, jobs might take a while to complete. The default compute settings have a minimum node size of 0, which means that the designer must allocate resources after being idle. Repeated pipeline jobs take less time since the compute resources are already allocated. Additionally, the designer uses cached results for each component to further improve efficiency.
 
 1. After the pipeline finishes running, you can review the pipeline and view the output for each component to learn more. Use the following steps to view component outputs:
 
@@ -140,4 +140,3 @@ To the left of the pipeline canvas, in the **Component** tab, expand the **Sampl
 ## Related content
 
 Learn the fundamentals of predictive analytics and machine learning with [Tutorial: Designer - train a no-code regression model](tutorial-designer-automobile-price-train-score.md)
-