Merge pull request #216695 from v-lanjli/updateforsynapseSJDandnotebook_updateforsynapse/main

update notebook/SJD activity for synapse

Author: Maggiemouse1

articles/synapse-analytics/media/quickstart-transform-data-using-spark-job-definition/spark-job-definition-pipline-settings.png

@@ -86,6 +86,8 @@ 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. |
+     |Reference files | Additional 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.|

articles/synapse-analytics/media/synapse-notebook-activity/create-synapse-notebook-activity.png

@@ -27,6 +27,8 @@ You can create a Synapse notebook activity directly from the Synapse pipeline ca
 
 Drag and drop **Synapse notebook** under **Activities** onto the Synapse pipeline canvas. Select on the Synapse notebook activity box and config the notebook content for current activity in the **settings**. You can select an existing notebook from the current workspace or add a new one. 
 
+If you select an existing notebook from the current workspace, you can click the **Open** button to directly open the notebook's page.
+
 (Optional) You can also reconfigure Spark pool\Executor size\Dynamically allocate executors\Min executors\Max executors\Driver size in settings. It should be noted that the settings reconfigured here will replace the settings of the configure session in Notebook. If nothing is set in the settings of the current notebook activity, it will run with the settings of the configure session in that notebook.
 
 > [!div class="mx-imgBorder"]