Merge pull request #106579 from likebupt/update-tutorial

Update tutorial

Author: ktoliver

articles/machine-learning/media/tutorial-designer-automobile-price-deploy/setup-endpoint.png

@@ -35,7 +35,7 @@ To deploy your pipeline, you must first convert the training pipeline into a rea
 
 1. Above the pipeline canvas, select **Create inference pipeline** > **Real-time inference pipeline**.
 
-    ![Screenshot showing where to find the create pipeline button](./media/tutorial-designer-automobile-price-deploy/create-inference-pipeline.png)
+    ![Screenshot showing where to find the create pipeline button](./media/tutorial-designer-automobile-price-deploy/tutorial2-create-inference-pipeline.png)
 
     Your pipeline should now look like this: 
 
@@ -52,7 +52,7 @@ To deploy your pipeline, you must first convert the training pipeline into a rea
     > By default, the **Web Service Input** will expect the same data schema as the training data used to create the predictive pipeline. In this scenario, price is included in the schema. However, price isn't used as a factor during prediction.
     >
 
-1. Select **Run**, and use the same compute target and experiment that you used in part one.
+1. Select **Submit**, and use the same compute target and experiment that you used in part one.
 
 1. Select **Deploy**.
 

articles/machine-learning/media/tutorial-designer-automobile-price-deploy/tutorial2-create-inference-pipeline.png

@@ -9,7 +9,7 @@ services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
 ms.topic: tutorial
-ms.date: 01/30/2020
+ms.date: 03/04/2020
 ---
 
 # Tutorial: Predict automobile price with the designer (preview)
@@ -258,16 +258,16 @@ Use the **Evaluate Model** module to evaluate how well your model scored the tes
 
 Now that your pipeline is all setup, you can submit a pipeline run to train your machine learning model. You can submit a pipeline run at any point while building pipelines in the designer. You can do this to check your work as you go and verify your pipeline functions as expected.
 
-1. At the top of the canvas, select **Run**.
+1. At the top of the canvas, select **Submit**.
 
-1. In the **Set up pipeline run** dialog box, select **+ New experiment** for the **Experiment**.
+1. In the **Set up pipeline run** dialog box, select **Create new**.
 
     > [!NOTE]
     > Experiments group similar pipeline runs together. If you run a pipeline multiple times, you can select the same experiment for successive runs.
 
-    1. Enter a descriptive name for **Experiment Name**.
+    1. Enter a descriptive name for **New experiment Name**.
 
-    1. Select **Run**.
+    1. Select **Submit**.
 
     You can view run status and details at the top right of the canvas.