Pull requests related to issues 108069

Author: damochiz

articles/machine-learning/how-to-manage-quotas.md

@@ -168,7 +168,7 @@ Azure Machine Learning kubernetes online endpoints have limits described in the
 | Number of deployments per endpoint | 20 |
 | Max request time-out at endpoint level  | 300 seconds |
 
-The sum of kubernetes online endpoints and managed online endpoints under each subscription can't exceed 50. Similarly, the sum of kubernetes online deployments and managed online deployments under each subscription can't exceed 200.
+The sum of kubernetes online endpoint, managed online endpoint, and managed batch endpoint under each subscription can't exceed 50. Similarly, the sum of kubernetes online deployments and managed online deployments and managed batch deployments under each subscription can't exceed 200.
 
 ### Azure Machine Learning pipelines
 [Azure Machine Learning pipelines](concept-ml-pipelines.md) have the following limits.