update format

Author: v-lanjli

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

@@ -79,6 +79,7 @@ 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. 
+     
      |  Property   | Description   |  
      | ----- | ----- |  
      |Main definition file| The main file used for the job. Select a PY/JAR/ZIP file from your storage. You can select **Upload file** to upload the file to a storage account. <br> Sample: `abfss://…/path/to/wordcount.jar`|
@@ -90,6 +91,7 @@ On this panel, you can reference to the Spark job definition to run.
      |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 job definition pipline settings](media/quickstart-transform-data-using-spark-job-definition/spark-job-definition-pipline-settings.png)
 
 * You can add dynamic content by clicking the **Add Dynamic Content** button or by pressing the shortcut key <kbd>Alt</kbd>+<kbd>Shift</kbd>+<kbd>D</kbd>. In the **Add Dynamic Content** page, you can use any combination of expressions, functions, and system variables to add to dynamic content.