Merge pull request #79579 from dagiro/mvc13

mvc13

Author: PRMerger20

articles/hdinsight/hadoop/apache-hadoop-linux-create-cluster-get-started-portal.md

@@ -90,7 +90,7 @@ In this section, you create a Hadoop cluster in HDInsight using the Azure portal
 
     ![HDInsight Linux get started cluster settings](./media/apache-hadoop-linux-create-cluster-get-started-portal/hdinsight-linux-get-started-cluster-settings.png "HDInsight cluster properties")    
 
-    Each cluster has an [Azure Storage account](../hdinsight-hadoop-use-blob-storage.md) or an [Azure Data Lake account](../hdinsight-hadoop-use-data-lake-store.md) dependency. It is referred as the default storage account. HDInsight cluster and its default storage account must be co-located in the same Azure region. Deleting clusters does not delete the storage account.
+    Each cluster has an [Azure Storage account](../hdinsight-hadoop-use-blob-storage.md) or an [Azure Data Lake account](../hdinsight-hadoop-use-data-lake-store.md) dependency. It is referred as the default storage account. HDInsight cluster and its default storage account must be colocated in the same Azure region. Deleting clusters does not delete the storage account.
 
     > [!NOTE]  
     > For other cluster creation methods and understanding the properties used in this tutorial, see [Create HDInsight clusters](../hdinsight-hadoop-provision-linux-clusters.md).       
@@ -117,7 +117,7 @@ In this section, you create a Hadoop cluster in HDInsight using the Azure portal
 
 5. Select **Execute**. A **RESULTS** tab appears beneath the **QUERY** tab and displays information about the job. 
 
-    Once the query has finished, The **QUERY** tab displays the results of the operation. You shall see one table called **hivesampletable**. This sample Hive table comes with all the HDInsight clusters.
+    Once the query has finished, the **QUERY** tab displays the results of the operation. You shall see one table called **hivesampletable**. This sample Hive table comes with all the HDInsight clusters.
 
     ![HDInsight Hive views](./media/apache-hadoop-linux-tutorial-get-started/hiveview.png "HDInsight Hive View Query Editor")
 
@@ -131,17 +131,11 @@ In this section, you create a Hadoop cluster in HDInsight using the Azure portal
 
 After you have completed a Hive job, you can [export the results to Azure SQL database or SQL Server database](apache-hadoop-use-sqoop-mac-linux.md), you can also [visualize the results using Excel](apache-hadoop-connect-excel-power-query.md). For more information about using Hive in HDInsight, see [Use Apache Hive and HiveQL with Apache Hadoop in HDInsight to analyze a sample Apache log4j file](hdinsight-use-hive.md).
 
-## Troubleshoot
-
-If you run into issues with creating HDInsight clusters, see [access control requirements](../hdinsight-hadoop-create-linux-clusters-portal.md).
-
 ## Clean up resources
 After you complete the tutorial, you may want to delete the cluster. With HDInsight, your data is stored in Azure Storage, so you can safely delete a cluster when it is not in use. You are also charged for an HDInsight cluster, even when it is not in use. Since the charges for the cluster are many times more than the charges for storage, it makes economic sense to delete clusters when they are not in use. 
 
 > [!NOTE]  
 > If you are *immediately* proceeding to the next tutorial to learn how to run ETL operations using Hadoop on HDInsight, you may want to keep the cluster running. This is because in the tutorial you have to create a Hadoop cluster again. However, if you are not going through the next tutorial right away, you must delete the cluster now.
-> 
->  
 
 **To delete the cluster and/or the default storage account**
 

articles/hdinsight/hadoop/apache-hadoop-linux-tutorial-get-started.md

@@ -55,11 +55,8 @@ If you don't have an Azure subscription, [create a free account](https://azure.m
 > [!NOTE]  
 > For other cluster creation methods and understanding the properties used in this quickstart, see [Create HDInsight clusters](../hdinsight-hadoop-provision-linux-clusters.md).
 
-## Troubleshoot
-
-If you run into issues with creating HDInsight clusters, see [access control requirements](../hdinsight-hadoop-customize-cluster-linux.md#access-control).
-
 ## Clean up resources
+
 After you complete the quickstart, you may want to delete the cluster. With HDInsight, your data is stored in Azure Storage, so you can safely delete a cluster when it is not in use. You are also charged for an HDInsight cluster, even when it is not in use. Since the charges for the cluster are many times more than the charges for storage, it makes economic sense to delete clusters when they are not in use.
 
 > [!NOTE]  

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

@@ -251,10 +251,6 @@ To store records into the test topic you created earlier, and then read them usi
 
 You can also programmatically create producers and consumers. For an example of using this API, see the [Apache Kafka Producer and Consumer API with HDInsight](apache-kafka-producer-consumer-api.md) document.
 
-## Troubleshoot
-
-If you run into issues with creating HDInsight clusters, see [access control requirements](../hdinsight-hadoop-create-linux-clusters-portal.md).
-
 ## Clean up resources
 
 If you wish to clean up the resources created by this quickstart, you can delete the resource group. Deleting the resource group also deletes the associated HDInsight cluster, and any other resources associated with the resource group.