update screenshot in designer articles

Author: likebupt

articles/machine-learning/how-to-designer-import-data.md

@@ -5,9 +5,9 @@ description: Learn how to import data into Azure Machine Learning designer (prev
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
-author: peterclu
-ms.author: peterlu
-ms.date: 01/16/2020
+author: likebupt
+ms.author: keli19
+ms.date: 09/09/2020
 ms.topic: conceptual
 ms.custom: how-to, designer
 ---
@@ -33,13 +33,13 @@ You can also register the output for any designer module as a dataset.
 
 1. Select the module that outputs the data you want to register.
 
-1. In the properties pane, select **Outputs** > **Register dataset**.
+1. In the properties pane, select **Outputs + logs** > **Register dataset**.
 
     ![Screenshot showing how to navigate to the Register Dataset option](media/how-to-designer-import-data/register-dataset-designer.png)
 
 ### Use a dataset
 
-Your registered datasets can be found in the module palette, under **Datasets** > **My Datasets**. To use a dataset, drag and drop it onto the pipeline canvas. Then, connect the output port of the dataset to other modules in the palette.
+Your registered datasets can be found in the module palette, under **Datasets**. To use a dataset, drag and drop it onto the pipeline canvas. Then, connect the output port of the dataset to other modules in the palette.
 
 ![Screenshot showing location of saved datasets in the designer palette](media/how-to-designer-import-data/use-datasets-designer.png)
 

articles/machine-learning/how-to-designer-python.md

@@ -5,9 +5,9 @@ description: Learn how to use Python in Azure Machine Learning designer (preview
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
-author: peterclu
-ms.author: peterlu
-ms.date: 02/28/2020
+author: likebupt
+ms.author: keli19
+ms.date: 09/09/2020
 ms.topic: conceptual
 ms.custom: how-to, designer, devx-track-python
 ---

articles/machine-learning/how-to-retrain-designer.md

@@ -36,7 +36,7 @@ This article also assumes that you have basic knowledge of building pipelines in
 
 ### Sample pipeline
 
-The pipeline used in this article is an altered version of [Sample 3: Income prediction](samples-designer.md#classification). The pipeline uses the [Import Data](algorithm-module-reference/import-data.md) module instead of the sample dataset to show you how to train models using your own data.
+The pipeline used in this article is an altered version of a sample pipeline [Income prediction](samples-designer.md#classification) in the designer homepage. The pipeline uses the [Import Data](algorithm-module-reference/import-data.md) module instead of the sample dataset to show you how to train models using your own data.
 
 ![Screenshot that shows the modified sample pipeline with a box highlighting the Import Data module](./media/how-to-retrain-designer/modified-sample-pipeline.png)
 
@@ -96,9 +96,9 @@ Publish a pipeline to a pipeline endpoint to easily reuse your pipelines in the
 
 Now that you have a published training pipeline, you can use it to retrain your model on new data. You can submit runs from a pipeline endpoint from the studio workspace or programmatically.
 
-### Submit runs by using the designer
+### Submit runs by using the studio portal
 
-Use the following steps to submit a parameterized pipeline endpoint run from the designer:
+Use the following steps to submit a parameterized pipeline endpoint run from the studio portal:
 
 1. Go to the **Endpoints** page in your studio workspace.
 1. Select the **Pipeline endpoints** tab. Then, select your pipeline endpoint.

articles/machine-learning/how-to-run-batch-predictions-designer.md

@@ -5,9 +5,9 @@ description: Learn how to train a model and set up a batch prediction pipeline u
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
-ms.author: peterlu
-author: peterclu
-ms.date: 02/24/2020
+ms.author: keli19
+author: likebupt
+ms.date: 09/09/2020
 ms.topic: conceptual
 ms.custom: how-to, designer
 ---
@@ -66,6 +66,8 @@ In this section, you create a dataset parameter to specify a different dataset t
 
     Enter a name for the parameter, or accept the default value.
 
+    ![Set dataset as pipeline parameter](./media/how-to-run-batch-predictions-designer/set-dataset-as-pipeline-parameter.png)
+
 ## Publish your batch inferencing pipeline
 
 Now you're ready to deploy the inferencing pipeline. This will deploy the pipeline and make it available for others to use.
@@ -121,9 +123,7 @@ You can find information on how to consume pipeline endpoints and published pipe
 
 You can find the REST endpoint of a pipeline endpoint in the run overview panel. By calling the endpoint, you are consuming its default published pipeline.
 
-You can also consume a published pipeline in the **Published pipelines** page. Select a published pipeline and find the REST endpoint of it. 
-
-![Rest endpoint details](./media/how-to-run-batch-predictions-designer/rest-endpoint-details.png)
+You can also consume a published pipeline in the **Published pipelines** page. Select a published pipeline and you can find the REST endpoint of it in the **Published pipeline overview** panel to the right of the graph. 
 
 To make a REST call, you will need an OAuth 2.0 bearer-type authentication header. See the following [tutorial section](tutorial-pipeline-batch-scoring-classification.md#publish-and-run-from-a-rest-endpoint) for more detail on setting up authentication to your workspace and making a parameterized REST call.
 

articles/machine-learning/media/concept-designer/designer-drag-and-drop.gif

@@ -90,7 +90,7 @@ You can set a **Default compute target** for the entire pipeline, which will tel
 
 There are several sample datasets included in the designer for you to experiment with. For this tutorial, use **Automobile price data (Raw)**. 
 
-1. To the left of the pipeline canvas is a palette of datasets and modules. Select **Datasets**, and then view the **Samples** section to view the available sample datasets.
+1. To the left of the pipeline canvas is a palette of datasets and modules. Select **Sample datasets** to view the available sample datasets.
 
 1. Select the dataset **Automobile price data (Raw)**, and drag it onto the canvas.