update azuredeploy.json README.md for (quickstarts\microsoft.machinelearningservices\machine-learning-job-create-or-update-job) ***NO_CI***

Author: Azure Quickstarts Pipeline

quickstarts/microsoft.machinelearningservices/machine-learning-job-create-or-update-job/README.md

@@ -1,5 +1,5 @@
 ---
-description: Creates a simple hello world Azure Command Job.
+description: This template creates an Azure Machine Learning Command job with a basic hello_world script
 page_type: sample
 products:
 - azure

quickstarts/microsoft.machinelearningservices/machine-learning-job-create-or-update-job/azuredeploy.json

@@ -0,0 +1,64 @@
+{
+  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
+  "contentVersion": "1.0.0.0",
+  "metadata": {
+    "_generator": {
+      "name": "bicep",
+      "version": "0.11.1.770",
+      "templateHash": "7330564898094792594"
+    }
+  },
+  "parameters": {
+    "workspaceName": {
+      "type": "string",
+      "metadata": {
+        "description": "Specifies the name of the Azure Machine Learning workspace where the command job will be created."
+      }
+    },
+    "computeName": {
+      "type": "string",
+      "metadata": {
+        "description": "Specifies the name of the Azure Machine Learning compute instance/cluster on which job will be run."
+      }
+    },
+    "experimentName": {
+      "type": "string",
+      "metadata": {
+        "description": "Specifies the name of the Azure Machine Learning experiment under which job will be created."
+      }
+    },
+    "jobName": {
+      "type": "string",
+      "metadata": {
+        "description": "Specifies the name of the Azure Machine Learning job to be created."
+      }
+    },
+    "environmentName": {
+      "type": "string",
+      "defaultValue": "AzureML-lightgbm-3.2-ubuntu18.04-py37-cpu",
+      "metadata": {
+        "description": "Specifies the curated environment to run sweep job."
+      }
+    }
+  },
+  "resources": [
+    {
+      "type": "Microsoft.MachineLearningServices/workspaces/jobs",
+      "apiVersion": "2022-10-01",
+      "name": "[format('{0}/{1}', parameters('workspaceName'), parameters('jobName'))]",
+      "properties": {
+        "jobType": "Command",
+        "experimentName": "[parameters('experimentName')]",
+        "command": "echo \"hello_world\"",
+        "environmentId": "[resourceId('Microsoft.MachineLearningServices/workspaces/environments/versions', split(format('{0}/{1}', parameters('workspaceName'), parameters('environmentName')), '/')[0], split(format('{0}/{1}', parameters('workspaceName'), parameters('environmentName')), '/')[1], reference(resourceId('Microsoft.MachineLearningServices/workspaces/environments', split(format('{0}/{1}', parameters('workspaceName'), parameters('environmentName')), '/')[0], split(format('{0}/{1}', parameters('workspaceName'), parameters('environmentName')), '/')[1]), '2022-05-01').latestVersion)]",
+        "computeId": "[resourceId('Microsoft.MachineLearningServices/workspaces/computes', split(format('{0}/{1}', parameters('workspaceName'), parameters('computeName')), '/')[0], split(format('{0}/{1}', parameters('workspaceName'), parameters('computeName')), '/')[1])]"
+      }
+    }
+  ],
+  "outputs": {
+    "Job_Studio_Endpoint": {
+      "type": "string",
+      "value": "[reference(resourceId('Microsoft.MachineLearningServices/workspaces/jobs', split(format('{0}/{1}', parameters('workspaceName'), parameters('jobName')), '/')[0], split(format('{0}/{1}', parameters('workspaceName'), parameters('jobName')), '/')[1])).services.Studio.endpoint]"
+    }
+  }
+}