changed indent

Author: s-polly

articles/machine-learning/how-to-use-serverless-compute.md

@@ -136,79 +136,79 @@ When you [view your usage and quota in the Azure portal](how-to-manage-quotas.md
 
 1. Verify your workspace identity configuration.
 
-# [Python SDK](#tab/python)
-
-```python
-from azure.ai.ml import MLClient
-from azure.identity import DefaultAzureCredential
-
-subscription_id = "<your-subscription-id>"
-resource_group = "<your-resource-group>"
-workspace = "<your-workspace-name>"
-
-ml_client = MLClient(
-    DefaultAzureCredential(),
-    subscription_id,
-    resource_group,
-    workspace
-)
-
-# Get workspace details
-ws = ml_client.workspaces.get(name=workspace)
-print(ws)
-
-```
-
-# [Azure CLI](#tab/cli)
-
-```bash
-az ml workspace show --name <wsname>  --resource-group <rgname>
-```
-
----
+    # [Python SDK](#tab/python)
+    
+    ```python
+    from azure.ai.ml import MLClient
+    from azure.identity import DefaultAzureCredential
+    
+    subscription_id = "<your-subscription-id>"
+    resource_group = "<your-resource-group>"
+    workspace = "<your-workspace-name>"
+    
+    ml_client = MLClient(
+        DefaultAzureCredential(),
+        subscription_id,
+        resource_group,
+        workspace
+    )
+    
+    # Get workspace details
+    ws = ml_client.workspaces.get(name=workspace)
+    print(ws)
+    
+    ```
+    
+    # [Azure CLI](#tab/cli)
+    
+    ```bash
+    az ml workspace show --name <wsname>  --resource-group <rgname>
+    ```    
+    
+    ---
 
-Look for the user assigned identities in the output. If it's missing, create a new workspace with a user assigned managed identity by following the instructions here: Set up service authentication - Azure Machine Learning | Microsoft Learn
+    Look for the user assigned identities in the output. If it's missing, create a new workspace with a user assigned managed identity by following the instructions here: Set up service authentication - Azure Machine Learning | Microsoft Learn
 
 1. Use user assigned managed identity in your job.
 
-# [Python SDK](#tab/python)
-
-```python
-from azure.ai.ml import command
-from azure.ai.ml import MLClient     # Handle to the workspace
-from azure.identity import DefaultAzureCredential    # Authentication package
-from azure.ai.ml.entities import ResourceConfiguration
-from azure.ai.ml.entities import ManagedIdentityConfiguration
-
-credential = DefaultAzureCredential()
-# Get a handle to the workspace. You can find the info on the workspace tab on ml.azure.com
-ml_client = MLClient(
-    credential=credential,
-    subscription_id="<Azure subscription id>", 
-    resource_group_name="<Azure resource group>",
-    workspace_name="<Azure Machine Learning Workspace>",
-)
-job = command(
-    command="echo 'hello world'",
-    environment="azureml://registries/azureml/environments/sklearn-1.5/labels/latest",
-    identity= ManagedIdentityConfiguration(client_id="<workspace-uami-client-id>"),
-)
-# submit the command job
-ml_client.create_or_update(job)
-```
-
-# [Azure CLI](#tab/cli)
-
-```yaml
-$schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json
-command: echo "hello world"
-environment:
-  image: library/python:latest
-identity:
-  type: managed
-```
-
-  ---
+    # [Python SDK](#tab/python)
+    
+    ```python
+    from azure.ai.ml import command
+    from azure.ai.ml import MLClient     # Handle to the workspace
+    from azure.identity import DefaultAzureCredential    # Authentication package
+    from azure.ai.ml.entities import ResourceConfiguration
+    from azure.ai.ml.entities import ManagedIdentityConfiguration
+    
+    credential = DefaultAzureCredential()
+    # Get a handle to the workspace. You can find the info on the workspace tab on ml.azure.com
+    ml_client = MLClient(
+        credential=credential,
+        subscription_id="<Azure subscription id>", 
+        resource_group_name="<Azure resource group>",
+        workspace_name="<Azure Machine Learning Workspace>",
+    )
+    job = command(
+        command="echo 'hello world'",
+        environment="azureml://registries/azureml/environments/sklearn-1.5/labels/latest",
+        identity= ManagedIdentityConfiguration(client_id="<workspace-uami-client-id>"),
+    )
+    # submit the command job
+    ml_client.create_or_update(job)
+    ```
+    
+    # [Azure CLI](#tab/cli)
+    
+    ```yaml
+    $schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json
+    command: echo "hello world"
+    environment:
+      image: library/python:latest
+    identity:
+      type: managed
+    ```
+    
+    ---
 
 ## Configure properties for command jobs