Merge pull request #89059 from dagiro/cats151

cats151

Author: PRMerger19

articles/hdinsight/r-server/r-server-operationalize.md

@@ -1,10 +1,10 @@
 ---
 title: Operationalize ML Services on HDInsight - Azure 
 description: Learn how to operationalize your data model to make predictions with ML Services in Azure HDInsight.
-ms.service: hdinsight
 author: hrasheed-msft
 ms.author: hrasheed
 ms.reviewer: jasonh
+ms.service: hdinsight
 ms.custom: hdinsightactive
 ms.topic: conceptual
 ms.date: 06/27/2018
@@ -45,31 +45,31 @@ After you have used ML Services cluster in HDInsight to complete your data model
 
 1. You are presented with the options to choose from. Choose the first option, as shown in the following screenshot, to **Configure ML Server for Operationalization**.
 
-    ![one box op1](./media/r-server-operationalize/admin-util-one-box-1.png)
+    ![R server Administration utility select](./media/r-server-operationalize/admin-util-one-box-1.png)
 
 1. You are now presented with the option to choose how you want to operationalize ML Server. From the presented options, choose the first one by entering **A**.
 
-    ![one box op2](./media/r-server-operationalize/admin-util-one-box-2.png)
+    ![R server Administration utility operationalize](./media/r-server-operationalize/admin-util-one-box-2.png)
 
 1. When prompted, enter and reenter the password for a local admin user.
 
 1. You should see outputs suggesting that the operation was successful. You are also prompted to select another option from the menu. Select E to go back to the main menu.
 
-    ![one box op3](./media/r-server-operationalize/admin-util-one-box-3.png)
+    ![R server Administration utility success](./media/r-server-operationalize/admin-util-one-box-3.png)
 
 1. Optionally, you can perform diagnostic checks by running a diagnostic test as follows:
 
     a. From the main menu, select **6** to run diagnostic tests.
 
-    ![diagnostic1](./media/r-server-operationalize/hdinsight-diagnostic1.png)
+    ![R server Administration utility diagnostic](./media/r-server-operationalize/hdinsight-diagnostic1.png)
 
     b. From the Diagnostic Tests menu, select **A**. When prompted, enter the password that you provided for the local admin user.
 
-    ![diagnostic2](./media/r-server-operationalize/hdinsight-diagnostic2.png)
+    ![R server Administration utility test](./media/r-server-operationalize/hdinsight-diagnostic2.png)
 
     c. Verify that the output shows that overall health is a pass.
 
-    ![diagnostic3](./media/r-server-operationalize/hdinsight-diagnostic3.png)
+    ![R server Administration utility pass](./media/r-server-operationalize/hdinsight-diagnostic3.png)
 
     d. From the menu options presented, enter **E** to return to the main menu and then enter **8** to exit the admin utility.
 
@@ -143,7 +143,7 @@ Follow these steps to decommission worker nodes:
 
 1. Click  **Actions** > **Selected Hosts** > **Hosts** > **Turn ON Maintenance Mode**. For example, in the following image we have selected wn3 and wn4 to decommission.  
 
-   ![decommission worker nodes](./media/r-server-operationalize/get-started-operationalization.png)  
+   ![Apache Ambari Turn On Maintenance Mode](./media/r-server-operationalize/get-started-operationalization.png)  
 
 * Select **Actions** > **Selected Hosts** > **DataNodes** > click **Decommission**.
 * Select **Actions** > **Selected Hosts** > **NodeManagers** > click **Decommission**.