Include CLI/SDK and policy instructions

Author: deeikele

articles/machine-learning/how-to-create-manage-compute-instance.md

@@ -744,41 +744,42 @@ To create a compute instance, you'll need permissions for the following actions:
 * *Microsoft.MachineLearningServices/workspaces/computes/write*
 * *Microsoft.MachineLearningServices/workspaces/checkComputeNameAvailability/action*
 
-### Audit and observe compute instance version (preview)
+### Audit and observe compute instance version
 
 Once a compute instance is deployed, it does not get automatically updated. Microsoft [releases](azure-machine-learning-ci-image-release-notes.md) new VM images on a monthly basis. To understand options for keeping recent with the latest version, see [vulnerability management](concept-vulnerability-management.md#compute-instance). 
 
-To keep track of whether an instance's operating system version is current, you could query its version using the Studio UI. In your workspace in Azure Machine Learning studio, select Compute, then select compute instance on the top. Select a compute instance's compute name to see its properties including the current operating system. Enable 'audit and observe compute instance os version' under the previews management panel to see these preview properties.
+To keep track of whether an instance's operating system version is current, you could query its version using the CLI, SDK or Studio UI. 
 
-Administrators can use [Azure Policy](./../governance/policy/overview.md) definitions to audit instances that are running on outdated operating system versions across workspaces and subscriptions. The following is a sample policy:
+# [Studio UI](#tab/azure-studio)
 
-```json
-{
-    "mode": "All",
-    "policyRule": {
-      "if": {
-        "allOf": [
-          {
-            "field": "type",
-            "equals": "Microsoft.MachineLearningServices/workspaces/computes"
-          },
-          {
-            "field": "Microsoft.MachineLearningServices/workspaces/computes/computeType",
-            "equals": "ComputeInstance"
-          },
-          {
-            "field": "Microsoft.MachineLearningServices/workspaces/computes/osImageMetadata.isLatestOsImageVersion",
-            "equals": "false"
-          }
-        ]
-      },
-      "then": {
-        "effect": "Audit"
-      }
-    }
-}    
+In your workspace in Azure Machine Learning studio, select Compute, then select compute instance on the top. Select a compute instance's compute name to see its properties including the current operating system.
+
+# [Python SDK](#tab/python)
+
+[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
+
+```python
+from azure.ai.ml.entities import ComputeInstance, AmlCompute
+# Display operating system version
+instance = ml_client.compute.get("myci")
+print instance.os_image_metadata
+```
+
+For more information on the classes, methods, and parameters used in this example, see the following reference documents:
+
+* [`AmlCompute` class](/python/api/azure-ai-ml/azure.ai.ml.entities.amlcompute)
+* [`ComputeInstance` class](/python/api/azure-ai-ml/azure.ai.ml.entities.computeinstance)
+
+# [Azure CLI](#tab/azure-cli)
+
+[!INCLUDE [cli v2](../../includes/machine-learning-cli-v2.md)]
+
+```azurecli
+az ml compute show --name "myci"
 ```
 
+IT administrators can use [Azure Policy](./../governance/policy/overview.md) to monitor the inventory instances across workspaces in Azure compliance center. Assign the built-in policy [Audit Azure Machine Learning Compute Instances with an outdated operating system](https://ms.portal.azure.com/#view/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2Ff110a506-2dcb-422e-bcea-d533fc8c35e2) on an Azure subscription or Azure management group scope.
+
 ## Next steps
 
 * [Access the compute instance terminal](how-to-access-terminal.md)