acrolinx

Author: Blackmist

articles/machine-learning/v1/how-to-authenticate-web-service.md

@@ -113,9 +113,9 @@ print(token)
 >
 > We strongly recommend that you create your Azure Machine Learning workspace in the same region as your Azure Kubernetes Service cluster.
 >
-> To authenticate with a token, the web service will make a call to the region in which your Azure Machine Learning workspace is created. If your workspace region is unavailable, you won't be able to fetch a token for your web service, even if your cluster is in a different region from your workspace. The result is that Microsoft Entra authentication is unavailable until your workspace region is available again.
+> To authenticate with a token, the web service makes a call to the region in which your Azure Machine Learning workspace is created. If your workspace region is unavailable, you aren't able to fetch a token for your web service, even if your cluster is in a different region from your workspace. The result is that Microsoft Entra authentication is unavailable until your workspace region is available again.
 >
-> Also, the greater the distance between your cluster's region and your workspace region, the longer it will take to fetch a token.
+> Also, the greater the distance between your cluster's region and your workspace region, the longer it takes to fetch a token.
 
 ## Next steps
 

articles/machine-learning/v1/how-to-consume-web-service.md

@@ -104,7 +104,7 @@ The following table shows what these URIs look like:
 | Swagger URI | `http://104.214.29.152/api/v1/service/<service-name>/swagger.json` |
 
 > [!TIP]
-> The IP address will be different for your deployment. Each AKS cluster will have its own IP address that is shared by deployments to that cluster.
+> The IP address is different for your deployment. Each AKS cluster has its own IP address that is shared by deployments to that cluster.
 
 ### Secured web service