update hobo trigger

Author: cloga

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

@@ -160,13 +160,6 @@ To request an exception from the Azure Machine Learning product team, use the st
 | Workspaces per resource group | 800 |
 
 
-### Azure Machine Learning job schedules
-[Azure Machine Learning job schedules](how-to-schedule-pipeline-job.md) have the following limits.
-
-| **Resource** | **Limit** |
-| --- | --- |
-| Schedules per region | 100 |
-
 ### Azure Machine Learning integration with Synapse
 
 Azure Machine Learning serverless Spark provides easy access to distributed computing capability for scaling Apache Spark jobs. Serverless Spark utilizes the same dedicated quota as Azure Machine Learning Compute. Quota limits can be increased by submitting a support ticket and [requesting for quota and limit increase](#request-quota-and-limit-increases) for ESv3 series under the "Machine Learning Service: Virtual Machine Quota" category.

articles/machine-learning/how-to-schedule-pipeline-job.md

@@ -492,6 +492,11 @@ Currently there are three action rules related to schedules and you can configur
 | Write  | Create, update, disable and enable schedules in Machine Learning workspace | Microsoft.MachineLearningServices/workspaces/schedules/write  |
 | Delete | Delete a schedule in Machine Learning workspace                            | Microsoft.MachineLearningServices/workspaces/schedules/delete |
 
+## Cost considerations
+
+- Schedules are billed based on the number of schedules each schedule will create a logic apps host azure machine learning subs on behalf (HOBO) of the user. 
+- The cost of logic apps will change back to the user's azure subscription, and you can find costs of HOBO resources are billed using the same meter emitted by the original RP. They are shown under the host resource (the workspace).
+
 ## Frequently asked questions
 
 - Why my schedules created by SDK aren't listed in UI?