Merge pull request #200231 from YutongTie-MSFT/patch-165

(AzureCXP) fixes MicrosoftDocs/azure-docs#93803

Author: PRMerger14

articles/machine-learning/tutorial-designer-automobile-price-deploy.md

@@ -57,7 +57,7 @@ To deploy your pipeline, you must first convert the training pipeline into a rea
 
     > [!NOTE]
     > By default, the **Web Service Input** will expect the same data schema as the component output data which connects to the same downstream port as it. In this sample, **Web Service Input** and **Automobile price data (Raw)** connect to the same downstream component, hence **Web Service Input** expect the same data schema as **Automobile price data (Raw)** and target variable column `price` is included in the schema.
-    > However, usually When you score the data, you won't know the target variable values. For such case, you can remove the target variable column in the inference pipeline using **Select Columns in Dataset** component. Make sure that the output of **Select Columns in Dataset** removing target variable column is connected to the same port as the output of the **Web Service Intput** component.
+    > However, usually When you score the data, you won't know the target variable values. For such case, you can remove the target variable column in the inference pipeline using **Select Columns in Dataset** component. Make sure that the output of **Select Columns in Dataset** removing target variable column is connected to the same port as the output of the **Web Service Input** component.
 
 1. Select **Submit**, and use the same compute target and experiment that you used in part one.