Update how-to-setup-authentication.md

Author: v-albemi

articles/machine-learning/how-to-setup-authentication.md

@@ -165,7 +165,7 @@ ws.get_details()
 
 The service principal created in the steps above can also be used to authenticate to the Azure Machine Learning [REST API](https://docs.microsoft.com/rest/api/azureml/). You use the Azure Active Directory [client credentials grant flow](https://docs.microsoft.com/azure/active-directory/develop/v1-oauth2-client-creds-grant-flow), which allow service-to-service calls for headless authentication in automated workflows. The examples are implemented with the [ADAL library](https://docs.microsoft.com/azure/active-directory/develop/active-directory-authentication-libraries) in both Python and Node.js, but you can also use any open-source library that supports OpenID Connect 1.0. 
 
-> ![NOTE]
+> [!NOTE]
 > MSAL.js is a newer library than ADAL, but you cannot do service-to-service authentication using client credentials with MSAL.js, since it is primarily a client-side library intended 
 > for interactive/UI authentication tied to a specific user. We recommend using ADAL as shown below to build automated workflows with the REST API.
 
@@ -319,4 +319,4 @@ print(token)
 ## Next steps
 
 * [Train and deploy an image classification model](tutorial-train-models-with-aml.md).
-* [Consume an Azure Machine Learning model deployed as a web service](how-to-consume-web-service.md).
+* [Consume an Azure Machine Learning model deployed as a web service](how-to-consume-web-service.md).