Merge pull request #98 from kromerm/80activities

Update concepts-pipelines-activities.md

Author: kromerm

articles/data-factory/concepts-pipelines-activities.md

@@ -8,7 +8,7 @@ ms.service: data-factory
 ms.subservice: orchestration
 ms.custom: synapse
 ms.topic: conceptual
-ms.date: 10/20/2023
+ms.date: 03/11/2024
 ---
 
 # Pipelines and activities in Azure Data Factory and Azure Synapse Analytics
@@ -30,6 +30,10 @@ Azure Data Factory and Azure Synapse Analytics have three groupings of activitie
 
 An input dataset represents the input for an activity in the pipeline, and an output dataset represents the output for the activity. Datasets identify data within different data stores, such as tables, files, folders, and documents. After you create a dataset, you can use it with activities in a pipeline. For example, a dataset can be an input/output dataset of a Copy Activity or an HDInsightHive Activity. For more information about datasets, see [Datasets in Azure Data Factory](concepts-datasets-linked-services.md) article.
 
+> [!NOTE]
+> There is a default soft limit of maximum 80 activities per pipeline, which includes inner activities for containers.
+
+
 ## Data movement activities
 
 Copy Activity in Data Factory copies data from a source data store to a sink data store. Data Factory supports the data stores listed in the table in this section. Data from any source can be written to any sink.