Acrolinx

Author: whhender

articles/synapse-analytics/quickstart-transform-data-using-spark-job-definition.md

@@ -76,7 +76,7 @@ On this panel, you can reference to the Spark job definition to run.
 
 * Expand the Spark job definition list, you can choose an existing Apache Spark job definition. You can also create a new Apache Spark job definition by selecting the **New** button to reference the Spark job definition to be run.
 
-* (Optional) You can fill in information for Apache Spark job definition. If the following settings are empty, the settings of the spark job definition itself will be used to run; if the following settings are not empty, these settings will replace the settings of the spark job definition itself. 
+* (Optional) You can fill in information for Apache Spark job definition. If the following settings are empty, the settings of the spark job definition itself will be used to run; if the following settings aren't empty, these settings will replace the settings of the spark job definition itself. 
 
      |  Property   | Description   |  
      | ----- | ----- |  
@@ -85,13 +85,13 @@ On this panel, you can reference to the Spark job definition to run.
      |Main class name| The fully qualified identifier or the main class that is in the main definition file. <br> Sample: `WordCount`|
      |Command-line arguments| You can add command-line arguments by clicking the **New** button. It should be noted that adding command-line arguments will override the command-line arguments defined by the Spark job definition. <br> *Sample: `abfss://…/path/to/shakespeare.txt` `abfss://…/path/to/result`* <br> |
      |Apache Spark pool| You can select Apache Spark pool from the list.|
-     |Python code reference| Additional Python code files used for reference in the main definition file. <br> It supports passing files (.py, .py3, .zip) to the "pyFiles" property. It will override the "pyFiles" property defined in Spark job definition. <br>|
-     |Reference files | Additional files used for reference in the main definition file. |
+     |Python code reference| Other Python code files used for reference in the main definition file. <br> It supports passing files (.py, .py3, .zip) to the "pyFiles" property. It will override the "pyFiles" property defined in Spark job definition. <br>|
+     |Reference files | Other files used for reference in the main definition file. |
      |Dynamically allocate executors| This setting maps to the dynamic allocation property in Spark configuration for Spark Application executors allocation.|
      |Min executors| Min number of executors to be allocated in the specified Spark pool for the job.|
      |Max executors| Max number of executors to be allocated in the specified Spark pool for the job.|
      |Driver size| Number of cores and memory to be used for driver given in the specified Apache Spark pool for the job.|
-     |Spark configuration| Specify values for Spark configuration properties listed in the topic: Spark Configuration - Application properties. Users can use default configuration and customized configuration. |
+     |Spark configuration| Specify values for Spark configuration properties listed in the article: Spark Configuration - Application properties. Users can use default configuration and customized configuration. |
 
      ![spark job definition pipline settings](media/quickstart-transform-data-using-spark-job-definition/spark-job-definition-pipline-settings.png)