added processor level diagram to job simulator

Author: alexlzx

articles/stream-analytics/TOC.yml

@@ -27,7 +27,7 @@
     items:
     - name: Azure portal
       href: create-cluster.md
-  - name: Build an e2e streaming application
+  - name: Build an End-to-End streaming application
     href: quick-start-build-application.md
 - name: Tutorials
   items:

articles/stream-analytics/cicd-tools.md

@@ -94,7 +94,7 @@ azure-streamanalytics-cicd localrun --project ./asaproj.json"
 > [!NOTE] 
 > JavaScript UDF only works on Windows.
 
-## Add automated test
+## Automated test
 
 You can use the CI/CD npm package to configure and run automated tests for your Stream Analytics project.
 
@@ -228,13 +228,31 @@ If test cases are executed, you can find a **testResultSummary.json** file gener
 
 ## Deploy to Azure
 
-To deploy your Stream Analytics project using ARM templates, check out these docs:
+To deploy your Stream Analytics project using ARM templates, follow these steps:
+1. Connect to your Azure account:
 
-* [Deploy with a Resource Manager template file and Azure PowerShell](https://aka.ms/armdeploytemplate).
-* [Use an object as a parameter in a Resource Manager template](https://learn.microsoft.com/azure/azure-resource-manager/templates/parameters#objects-as-parameters).
+    ```powershell
+    # Connect to Azure
+    Connect-AzAccount
+    # Set the Azure subscription
+    Set-AzContext [SubscriptionID/SubscriptionName]
+    ```
 
+2. Deploy your Stream Analytics project:
+
+    ```powershell
+    $templateFile = ".\Deploy\ClickStream-Filter.JobTemplate.json"
+    $parameterFile = ".\Deploy\ClickStream-Filter.JobTemplate.parameters.json"
+    New-AzResourceGroupDeployment `
+      -Name devenvironment `
+      -ResourceGroupName myResourceGroupDev `
+      -TemplateFile $templateFile `
+      -TemplateParameterFile $parameterFile
+    ```
+
+For more details about deploying resources with ARM templates, see [Deploy with a Resource Manager template file and Azure PowerShell](https://aka.ms/armdeploytemplate).
 
 ## Next steps
 
 * [Continuous integration and Continuous deployment for Azure Stream Analytics](cicd-overview.md)
-* [Set up CI/CD pipeline for Stream Analytics job using Azure Pipelines](set-up-cicd-pipeline.md)
+* [Set up CI/CD pipeline for Stream Analytics job using Azure Pipelines](set-up-cicd-pipeline.md)

articles/stream-analytics/media/job-diagram-simulator/processor-level-simulator.gif

@@ -63,7 +63,16 @@ In this tutorial, you learn to improve query performance based on edit suggestio
 
     :::image type="content" source="./media/job-diagram-simulator/job-diagram-simulator-adjust-su.png" alt-text="Screenshot of the VSCode using SU adjuster." lightbox= "./media/job-diagram-simulator/job-diagram-simulator-adjust-su.png" :::
 
+## Processor-level diagram
 
+Once you have adjusted the streaming units to simulate the topology of your job, you can expand any of the streaming nodes to observe how your data is being processed at the processor level.
+
+:::image type="content" source="./media/job-diagram-simulator/processor-level-simulator.gif" alt-text="A screenshot in gif format showing the processor level diagram of the simulator." lightbox= "./media/job-diagram-simulator/processor-level-simulator.gif" :::
+
+The processor-level diagram allows you to: 
+* observe how the input partitions are allocated and being processed at each streaming node.
+* find out what the **Time shift** is for each computing processor.
+* provide information on whether the Input and Output processors are aligned in parallel.
 
 ## Enhancement suggestions