Merge pull request #41510 from edjez/patch-12

improve SDK and API confusion

Author: Jak-MS

articles/cognitive-services/personalizer/what-is-personalizer.md

@@ -32,9 +32,9 @@ Personalizer uses machine learning models to discover what action to rank highes
 
 1. Choose an experience in your app to personalize.
 1. Create and configure an instance of the Personalization Service in the Azure portal. Each instance is a Personalizer Loop.
-1. Use SDK to call Personalizer with information (_features_) about your users, and the content (_actions_). You don't need to provide clean, labeled data before using Personalizer. 
+1. Use the [Rank API](https://westus2.dev.cognitive.microsoft.com/docs/services/personalizer-api/operations/Rank) to call Personalizer with information (_features_) about your users, and the content (_actions_). You don't need to provide clean, labeled data before using Personalizer. APIs can be called directly or using SDKs available for different programming languages.
 1. In the client application, show the user the action selected by Personalizer.
-1. Use the SDK to provide feedback to Personalizer indicating if the user selected Personalizer's action. This is a _[reward score](concept-rewards.md)_.
+1. Use the [Reward API](https://westus2.dev.cognitive.microsoft.com/docs/services/personalizer-api/operations/Reward) to provide feedback to Personalizer indicating if the user selected Personalizer's action. This is a _[reward score](concept-rewards.md)_.
 1. View analytics in the Azure portal to evaluate how the system is working and how your data is helping personalization.
 
 ## Where can I use Personalizer?