Explanation:
Box 1: Data movement
Data movement activities: Copy Activity in Data Factory copies data from a source data store to a sink data store. Data from any source can be written to any sink.
Box 2: Data transformation
Mapping data flows are visually designed data transformations in Azure Data Factory. Data flows allow data engineers to develop data transformation logic without writing code. The resulting data flows are executed as activities within Azure Data Factory pipelines that use scaled-out Apache Spark clusters.
Box 3: Control
Lookup Activity is a control flow activity. Lookup Activity can be used to read or look up a record/ table name/ value from any external source. This output can further be referenced by succeeding activities.
Reference
Pipelines and activities in Azure Data Factory and Azure Synapse Analytics
https://learn.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities Mapping data flows in Azure Data Factory
https://learn.microsoft.com/en-us/azure/data-factory/concepts-data-flow-overview