Merge pull request #89057 from dagiro/cats149

cats149

Author: PRMerger14

articles/hdinsight/kafka/apache-kafka-quickstart-powershell.md

@@ -1,10 +1,10 @@
 ---
 title: Set up Apache Kafka on HDInsight using Azure PowerShell - Quickstart
 description: In this quickstart, you learn how to create an Apache Kafka cluster on Azure HDInsight using Azure PowerShell. You also learn about Kafka topics, subscribers, and consumers.
-ms.service: hdinsight
 author: hrasheed-msft
 ms.author: hrasheed
 ms.reviewer: jasonh
+ms.service: hdinsight
 ms.custom: mvc
 ms.topic: quickstart
 ms.date: 06/12/2019

articles/hdinsight/kafka/apache-kafka-quickstart-resource-manager-template.md

@@ -1,10 +1,10 @@
 ---
 title: Set up Apache Kafka on HDInsight using Azure Resource Manager - Quickstart
 description: In this quickstart, you learn how to create an Apache Kafka cluster on Azure HDInsight using Azure Resource Manager template. You also learn about Kafka topics, subscribers, and consumers.
-ms.service: hdinsight
 author: hrasheed-msft
 ms.author: hrasheed
-ms.reviewer: jasonh 
+ms.reviewer: jasonh
+ms.service: hdinsight
 ms.custom: mvc
 ms.topic: quickstart
 ms.date: 06/12/2019
@@ -31,7 +31,7 @@ An SSH client. For more information, see [Connect to HDInsight (Apache Hadoop) u
 
 1. Click the following image to open the template in the Azure portal.
 
-    <a href="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure-Samples%2Fhdinsight-kafka-java-get-started%2Fmaster%2Fazuredeploy.json" target="_blank"><img src="./media/apache-kafka-quickstart-resource-manager-template/hdi-deploy-to-azure1.png" alt="Deploy to Azure"></a>
+    <a href="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure-Samples%2Fhdinsight-kafka-java-get-started%2Fmaster%2Fazuredeploy.json" target="_blank"><img src="./media/apache-kafka-quickstart-resource-manager-template/hdi-deploy-to-azure1.png" alt="Deploy to Azure button for new cluster"></a>
 
 2. To create the Kafka cluster, use the following values:
 

articles/hdinsight/kafka/apache-kafka-scalability.md

@@ -1,10 +1,10 @@
 ---
 title: Apache Kafka increase scale - Azure HDInsight 
 description: Learn how to configure managed disks for Apache Kafka cluster on Azure HDInsight to increase scalability.
-ms.service: hdinsight
 author: hrasheed-msft
 ms.author: hrasheed
 ms.reviewer: jasonh
+ms.service: hdinsight
 ms.custom: hdinsightactive
 ms.topic: conceptual
 ms.date: 05/30/2018
@@ -18,7 +18,7 @@ Kafka on HDInsight uses the local disk of the virtual machines in the HDInsight
 
 The following diagram provides a comparison between Kafka on HDInsight before managed disks, and Kafka on HDInsight with managed disks:
 
-![Diagram showing Kafka on HDInsight using a single vhd per vm vs. multiple managed disks per vm](./media/apache-kafka-scalability/kafka-with-managed-disks-architecture.png)
+![kafka with managed disks architecture](./media/apache-kafka-scalability/kafka-with-managed-disks-architecture.png)
 
 ## Configure managed disks: Azure portal
 
@@ -29,7 +29,7 @@ The following diagram provides a comparison between Kafka on HDInsight before ma
     > [!NOTE]  
     > The type of managed disk can be either __Standard__ (HDD) or __Premium__ (SSD). Premium disks are used with DS and GS series VMs. All other VM types use standard.
 
-    ![Image of the cluster size section with the disks per worker node highlighted](./media/apache-kafka-scalability/set-managed-disks-portal.png)
+    ![cluster size section with the disks per worker node highlighted](./media/apache-kafka-scalability/set-managed-disks-portal.png)
 
 ## Configure managed disks: Resource Manager template
 

articles/hdinsight/r-server/machine-learning-services-quickstart-job-rstudio.md

@@ -33,7 +33,7 @@ The first time you sign in you need to authenticate twice. For the first authent
 
 Once you are connected, your screen should resemble the following screenshot:
 
-![Cluster basic details](./media/ml-services-quickstart-job-rstudio/connect-to-r-studio1.png)
+![R studio web console overviews](./media/ml-services-quickstart-job-rstudio/connect-to-r-studio1.png)
 
 ## Use a compute context