Merge pull request #279061 from Blackmist/remove-postman

removing mention of postman per security guidance

Author: prmerger-automator[bot]

articles/machine-learning/how-to-configure-private-link.md

@@ -334,7 +334,7 @@ The following restrictions apply to IP address ranges:
 
 - Only IPv4 addresses are supported for configuration of storage firewall rules.
 
-- When this feature is enabled, you can test public endpoints using any client tool such as Postman or others, but the Endpoint Test tool in the portal is not supported.
+- When this feature is enabled, you can test public endpoints using any client tool such as Curl, but the Endpoint Test tool in the portal is not supported.
 
 ## Securely connect to your workspace
 
@@ -391,7 +391,7 @@ If you want to create an isolated Azure Kubernetes Service used by the workspace
 
 :::image type="content" source="./media/how-to-configure-private-link/multiple-private-endpoint-workspace-aks.png" alt-text="Diagram of isolated AKS VNet":::
 
-## Next steps
+## Next step
 
 * For more information on securing your Azure Machine Learning workspace, see the [Virtual network isolation and privacy overview](how-to-network-security-overview.md) article.
 

articles/machine-learning/how-to-registry-network-isolation.md

@@ -235,12 +235,12 @@ $accessToken = (az account get-access-token | ConvertFrom-Json).accessToken
     az account get-access-token --query accessToken
     ```
 
-1. Use a REST client such as Postman or Curl to make a GET request to the discovery URL. Use the access token retrieved in the previous step for authorization. In the following example, replace `<region>` with the region where your registry is located and `<registry_name>` with the name of your registry. Replace `<token>` with the access token retrieved in the previous step:
+1. Use a REST client such as Curl to make a GET request to the discovery URL. Use the access token retrieved in the previous step for authorization. In the following example, replace `<region>` with the region where your registry is located and `<registry_name>` with the name of your registry. Replace `<token>` with the access token retrieved in the previous step:
 
     ```bash
     curl -X GET "https://<region>.api.azureml.ms/registrymanagement/v1.0/registries/<registry_name>/discovery" -H "Authorization: Bearer <token>" -H "Content-Type: application/json"
     ```
 
-## Next steps
+## Next step
 
 Learn how to [Share models, components, and environments across workspaces with registries](how-to-share-models-pipelines-across-workspaces-with-registries.md).