Fixing description of token-based auth

Author: Parth Shah

articles/machine-learning/service/how-to-deploy-azure-kubernetes-service.md

@@ -224,7 +224,7 @@ For information on using VS Code, see [deploy to AKS via the VS Code extension](
 
 ## Web service authentication
 
-When deploying to Azure Kubernetes Service, __key-based__ authentication is enabled by default. You can also enable __token__ authentication. Token authentication requires clients to use an Azure Active Directory account to request an authentication token, which is used to make requests to the deployed service.
+When deploying to Azure Kubernetes Service, __key-based__ authentication is enabled by default. You can also enable __token-based__ authentication. Token-based authentication requires clients to use an Azure Active Directory account to request an authentication token, which is used to make requests to the deployed service.
 
 To __disable__ authentication, set the `auth_enabled=False` parameter when creating the deployment configuration. The following example disables authentication using the SDK:
 
@@ -264,7 +264,7 @@ print(token)
 > [!IMPORTANT]
 > You will need to request a new token after the token's `refresh_by` time.
 >
-> Microsoft strongly recommends 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's region is unavailable, then you will not be able to fetch a token for your web service even, if your cluster is in a different region than your workspace. This effectively results in Azure AD Authentication being unavailable until your workspace's region is available again. In addition, the greater the distance between your cluster's region and your workspace's region, the longer it will take to fetch a token.
+> Microsoft strongly recommends 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's region is unavailable, then you will not be able to fetch a token for your web service even, if your cluster is in a different region than your workspace. This effectively results in Token-based Authentication being unavailable until your workspace's region is available again. In addition, the greater the distance between your cluster's region and your workspace's region, the longer it will take to fetch a token.
 
 ## Update the web service