Improved correctness score

Author: Sreekanth Iyer (Ushta Te Consultancy Services)

articles/hdinsight/domain-joined/apache-domain-joined-run-hive.md

@@ -103,7 +103,7 @@ In the last section, you configured two policies: `hiveuser1` has the select per
 
 1. For the first use, an **ODBC driver** dialog opens. Select **Windows** from the left menu. Then select **Connect** to open the **Navigator** window.
 
-1. Wait for the **Select Database and Table** dialog to open. This step can take a few seconds.
+1. Wait for the `Select Database and Table` dialog to open. This step can take a few seconds.
 
 1. Select **hivesampletable** > **Next**.
 
@@ -146,7 +146,7 @@ To test the second policy (read-hivesampletable-devicemake) that you created in
     SELECT clientid, devicemake FROM "HIVE"."default"."hivesampletable"
     ```
 
-    When it's finished, you see two columns of imported data.
+    When finished, you see two columns of imported data.
 
 ## Next steps
 

articles/hdinsight/hadoop/apache-hadoop-use-mapreduce-dotnet-sdk.md

@@ -11,7 +11,7 @@ ms.date: 05/22/2024
 
 [!INCLUDE [mapreduce-selector](../includes/hdinsight-selector-use-mapreduce.md)]
 
-Learn how to submit MapReduce jobs using HDInsight .NET SDK. HDInsight clusters come with a jar file with some MapReduce samples. The jar file is `/example/jars/hadoop-mapreduce-examples.jar`.  One of the samples is **wordcount**. You develop a C# console application to submit a wordcount job.  The job reads the `/example/data/gutenberg/davinci.txt` file, and outputs the results to `/example/data/davinciwordcount`.  If you want to rerun the application, you must clean up the output folder.
+Learn how to submit MapReduce jobs using HDInsight .NET SDK. HDInsight clusters come with a jar file with some MapReduce samples. The jar file is`/example/jars/hadoop-mapreduce-examples.jar`. One of the samples is **wordcount**. You develop a C# console application to submit a wordcount job. The job reads the `/example/data/gutenberg/davinci.txt` file, and outputs the results to `/example/data/davinciwordcount`.  If you want to rerun the application, you must clean up the output folder.
 
 > [!NOTE]  
 > The steps in this article must be performed from a Windows client. For information on using a Linux, OS X, or Unix client to work with Hive, use the tab selector shown on the top of the article.
@@ -34,7 +34,7 @@ The HDInsight .NET SDK provides .NET client libraries, which make it easier to w
     Install-Package Microsoft.Azure.Management.HDInsight.Job
     ```
 
-1. Copy the code below into **Program.cs**. Then edit the code by setting the values for: `existingClusterName`, `existingClusterPassword`, `defaultStorageAccountName`, `defaultStorageAccountKey`, and `defaultStorageContainerName`.
+1. Copy the code into **Program.cs**. Then edit the code by setting the values for: `existingClusterName`, `existingClusterPassword`, `defaultStorageAccountName`, `defaultStorageAccountKey`, and `defaultStorageContainerName`.
 
     ```csharp
     using System.Collections.Generic;
@@ -155,13 +155,13 @@ The HDInsight .NET SDK provides .NET client libraries, which make it easier to w
 
 1. Press **F5** to run the application.
 
-To run the job again, you must change the job output folder name, in the sample it's `/example/data/davinciwordcount`.
+To run the job again, you must change the job output folder name, in the sample its `/example/data/davinciwordcount`.
 
 When the job completes successfully, the application prints the content of the output file `part-r-00000`.
 
 ## Next steps
 
-In this article, you have learned several ways to create an HDInsight cluster. To learn more, see the following articles:
+In this article, you learned several ways to create an HDInsight cluster. To learn more, see the following articles:
 
 * For submitting a Hive job, see [Run Apache Hive queries using HDInsight .NET SDK](apache-hadoop-use-hive-dotnet-sdk.md).
 * For creating HDInsight clusters, see [Create Linux-based Apache Hadoop clusters in HDInsight](../hdinsight-hadoop-provision-linux-clusters.md).

articles/hdinsight/hdinsight-autoscale-clusters.md

@@ -1,6 +1,6 @@
 ---
 title: Monitor and manage Hadoop with Ambari REST API - Azure HDInsight
-description: Learn how to use Ambari to monitor and manage Hadoop clusters in Azure HDInsight. In this document, you'll learn how to use the Ambari REST API included with HDInsight clusters.
+description: Learn how to use Ambari to monitor and manage Hadoop clusters in Azure HDInsight. In this document, you learn how to use the Ambari REST API included with HDInsight clusters.
 ms.service: hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive
@@ -21,7 +21,7 @@ Apache Ambari simplifies the management and monitoring of Hadoop clusters by pro
 
 * A Hadoop cluster on HDInsight. See [Get Started with HDInsight on Linux](hadoop/apache-hadoop-linux-tutorial-get-started.md).
 
-* Bash on Ubuntu on Windows 10.  The examples in this article use the Bash shell on Windows 10. See [Windows Subsystem for Linux Installation Guide for Windows 10](/windows/wsl/install-win10) for installation steps.  Other [Unix shells](https://www.gnu.org/software/bash/) will work as well.  The examples, with some slight modifications, can work on a Windows Command prompt.  Or you can use Windows PowerShell.
+* Bash on Ubuntu on Windows 10.  The examples in this article use the Bash shell on Windows 10. See [Windows Subsystem for Linux Installation Guide for Windows 10](/windows/wsl/install-win10) for installation steps.  Other [Unix shells](https://www.gnu.org/software/bash/) works as well.  The examples, with some slight modifications, can work on a Windows Command prompt.  Or you can use Windows PowerShell.
 
 * jq, a command-line JSON processor.  See [https://stedolan.github.io/jq/](https://stedolan.github.io/jq/).
 
@@ -41,10 +41,10 @@ For Enterprise Security Package clusters, instead of `admin`, use a fully qualif
 
 ### Setup (Preserve credentials)
 
-Preserve your credentials to avoid reentering them for each example.  The cluster name will be preserved in a separate step.
+Preserve your credentials to avoid reentering them for each example.  The cluster name preserved in a separate step.
 
 **A. Bash**  
-Edit the script below by replacing `PASSWORD` with your actual password.  Then enter the command.
+Edit the script by replacing `PASSWORD` with your actual password.  Then enter the command.
 
 ```bash
 export password='PASSWORD'
@@ -58,9 +58,9 @@ $creds = Get-Credential -UserName "admin" -Message "Enter the HDInsight login"
 
 ### Identify correctly cased cluster name
 
-The actual casing of the cluster name may be different than you expect.  The steps here will show the actual casing, and then store it in a variable for all later examples.
+The actual casing of the cluster name may be different than you expect.  The following steps show the actual casing, and then store it in a variable for all later examples.
 
-Edit the scripts below to replace `CLUSTERNAME` with your cluster name. Then enter the command. (The cluster name for the FQDN isn't case-sensitive.)
+Edit the scripts to replace `CLUSTERNAME` with your cluster name. Then enter the command. (The cluster name for the FQDN isn't case-sensitive.)
 
 ```bash
 export clusterName=$(curl -u admin:$password -sS -G "https://CLUSTERNAME.azurehdinsight.net/api/v1/clusters" | jq -r '.items[].Clusters.cluster_name')
@@ -185,7 +185,7 @@ foreach($item in $respObj.items) {
 
 ### Get the default storage
 
-HDInsight clusters must use an Azure Storage Account or Data Lake Storage as the default storage. You can use Ambari to retrieve this information after the cluster has been created. For example, if you want to read/write data to the container outside HDInsight.
+HDInsight clusters must use an Azure Storage Account or Data Lake Storage as the default storage. You can use Ambari to retrieve this information after the cluster created. For example, if you want to read/write data to the container outside HDInsight.
 
 The following examples retrieve the default storage configuration from the cluster:
 
@@ -202,7 +202,7 @@ $respObj.items.configurations.properties.'fs.defaultFS'
 ```
 
 > [!IMPORTANT]  
-> These examples return the first configuration applied to the server (`service_config_version=1`) which contains this information. If you retrieve a value that has been modified after cluster creation, you may need to list the configuration versions and retrieve the latest one.
+> These examples return the first configuration applied to the server (`service_config_version=1`) which contains this information. If you retrieve a value that modified after cluster creation, you may need to list the configuration versions and retrieve the latest one.
 
 The return value is similar to one of the following examples:
 
@@ -297,7 +297,7 @@ This example returns a JSON document containing the current configuration for th
 ### Update configuration
 
 1. Create `newconfig.json`.  
-   Modify, and then enter the commands below:
+   Modify, and then enter the commands as follows:
 
    * Replace `livy2-conf` with the new component.
    * Replace `INITIAL` with actual value retrieved for `tag` from [Get all configurations](#get-all-configurations).
@@ -310,7 +310,7 @@ This example returns a JSON document containing the current configuration for th
      ```
 
      **B. PowerShell**  
-     The PowerShell script uses [jq](https://stedolan.github.io/jq/).  Edit `C:\HD\jq\jq-win64` below to reflect your actual path and version of [jq](https://stedolan.github.io/jq/).
+     The PowerShell script uses [jq](https://stedolan.github.io/jq/).  Edit `C:\HD\jq\jq-win64` to reflect your actual path and version of [jq](https://stedolan.github.io/jq/).
 
      ```powershell
      $epoch = Get-Date -Year 1970 -Month 1 -Day 1 -Hour 0 -Minute 0 -Second 0
@@ -385,7 +385,7 @@ This example returns a JSON document containing the current configuration for th
 
 At this point, the Ambari web UI indicates the Spark service  needs to be restarted before the new configuration can take effect. Use the following steps to restart the service.
 
-1. Use the following to enable maintenance mode for the Spark2 service:
+1. Use the following to enable maintenance mode for the Spark 2 service:
 
     ```bash
     curl -u admin:$password -sS -H "X-Requested-By: ambari" \
@@ -420,7 +420,7 @@ At this point, the Ambari web UI indicates the Spark service  needs to be restar
 
     The return value is `ON`.
 
-3. Next, use the following to turn off the Spark2 service:
+3. Next, use the following to turn off the Spark 2 service:
 
     ```bash
     curl -u admin:$password -sS -H "X-Requested-By: ambari" \
@@ -453,7 +453,7 @@ At this point, the Ambari web UI indicates the Spark service  needs to be restar
     > The `href` value returned by this URI is using the internal IP address of the cluster node. To use it from outside the cluster, replace the `10.0.0.18:8080` portion with the FQDN of the cluster.  
 
 4. Verify request.  
-    Edit the command below by replacing `29` with the actual value for `id` returned from the  prior step.  The following commands retrieve the status of the request:
+    Edit the command by replacing `29` with the actual value for `id` returned from the  prior step.  The following commands retrieve the status of the request:
 
     ```bash
     curl -u admin:$password -sS -H "X-Requested-By: ambari" \
@@ -468,9 +468,9 @@ At this point, the Ambari web UI indicates the Spark service  needs to be restar
     $respObj.Requests.request_status
     ```
 
-    A response of `COMPLETED` indicates that the request has finished.
+    A response of `COMPLETED` indicates that the request finished.
 
-5. Once the previous request completes, use the following to start the Spark2 service.
+5. Once the previous request completes, use the following to start the Spark 2 service.
 
     ```bash
     curl -u admin:$password -sS -H "X-Requested-By: ambari" \

articles/hdinsight/hdinsight-hadoop-manage-ambari-rest-api.md

@@ -34,7 +34,7 @@ When you develop a custom script for an HDInsight cluster, there are several bes
 * [Target the Apache Hadoop version](#bPS1)
 * [Target the OS Version](#bps10)
 * [Provide stable links to script resources](#bPS2)
-* [Use pre-compiled resources](#bPS4)
+* [Use precompiled resources](#bPS4)
 * [Ensure that the cluster customization script is idempotent](#bPS3)
 * [Ensure high availability of the cluster architecture](#bPS5)
 * [Configure the custom components to use Azure Blob storage](#bPS6)
@@ -68,7 +68,7 @@ fi
 
 ### <a name="bps10"></a> Target the operating system version
 
-HDInsight is based on the Ubuntu Linux distribution. Different versions of HDInsight rely on different versions of Ubuntu, which may change how your script behaves. For example, HDInsight 3.4 and earlier are based on Ubuntu versions that use Upstart. Versions 3.5 and greater are based on Ubuntu 16.04, which uses Systemd. Systemd and Upstart rely on different commands, so your script should be written to work with both.
+HDInsight is based on the Ubuntu Linux distribution. Different versions of HDInsight rely on different versions of Ubuntu, which may change how your script behaves. For example, HDInsight 3.4 and earlier are based on Ubuntu versions that use Upstart. Versions 3.5 and greater are based on Ubuntu 16.04, which uses `Systemd`. `Systemd` and Upstart rely on different commands, so your script should be written to work with both.
 
 Another important difference between HDInsight 3.4 and 3.5 is that `JAVA_HOME` now points to Java 8. The following code demonstrates how to determine if the script is running on Ubuntu 14 or 16:
 
@@ -105,7 +105,7 @@ You can find the full script that contains these snippets at https://hdiconfigac
 
 For the version of Ubuntu that is used by HDInsight, see the [HDInsight component version](hdinsight-component-versioning.md) document.
 
-To understand the differences between Systemd and Upstart, see [Systemd for Upstart users](https://wiki.ubuntu.com/SystemdForUpstartUsers).
+To understand the differences between `Systemd` and Upstart, see [`Systemd` for Upstart users](https://wiki.ubuntu.com/SystemdForUpstartUsers).
 
 ### <a name="bPS2"></a>Provide stable links to script resources
 
@@ -118,15 +118,15 @@ The best practice is to download and archive everything in an Azure Storage acco
 
 For example, the samples provided by Microsoft are stored in the `https://hdiconfigactions.blob.core.windows.net/`  storage account. This location is a public, read-only container maintained by the HDInsight team.
 
-### <a name="bPS4"></a>Use pre-compiled resources
+### <a name="bPS4"></a>Use precompiled resources
 
-To reduce the time it takes to run the script, avoid operations that compile resources from source code. For example, pre-compile resources and store them in an Azure Storage account blob in the same data center as HDInsight.
+To reduce the time it takes to run the script, avoid operations that compile resources from source code. For example, precompile resources and store them in an Azure Storage account blob in the same data center as HDInsight.
 
 ### <a name="bPS3"></a>Ensure that the cluster customization script is idempotent
 
 Scripts must be idempotent. If the script runs multiple times, it should return the cluster to the same state every time.
 
-For example, a script that modifies configuration files shouldn't add duplicate entries if ran multiple times.
+If the script runs multiple times, the script modifies configuration files shouldn't add duplicate entries.
 
 ### <a name="bPS5"></a>Ensure high availability of the cluster architecture
 
@@ -181,7 +181,7 @@ line 1: #!/usr/bin/env: No such file or directory
 
 ### <a name="bps9"></a> Use retry logic to recover from transient errors
 
-When downloading files, installing packages using apt-get, or other actions that transmit data over the internet, the action may fail because of transient networking errors. For example, the remote resource you're communicating with may be in the process of failing over to a backup node.
+When you download files, installing packages using apt-get, or other actions that transmit data over the internet, the action may fail because of transient networking errors. For example, the remote resource you're communicating with may be in the process of failing over to a backup node.
 
 To make your script resilient to transient errors, you can implement retry logic. The following function demonstrates how to implement retry logic. It retries the operation three times before failing.