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DP-900 · Question #73

Drag and Drop Question Match the types of activities to the appropriate Azure Data Factory activities. To answer, drag the appropriate activity type from the column on the left to its Data Factory…

The correct answer is Data movement; Data transformation; Control. In Azure Data Factory, activity types are categorized by their purpose: Data movement activities (like Copy Activity) transfer data between source and destination stores; Data transformation activities (like Mapping Data Flow, HDInsight Hive, or Azure Databricks) process and…

Submitted by thandi_sa· Mar 30, 2026Design and Implement Data Storage and Data Processing Pipelines using Azure Data Factory (DP-203 / AZ-900 Data Services)

Question

Drag and Drop Question Match the types of activities to the appropriate Azure Data Factory activities. To answer, drag the appropriate activity type from the column on the left to its Data Factory activity on the right. Each activity type may be used once, more than once, or not at all. NOTE: Each correct match is worth one point. Answer:

Exhibit

DP-900 question #73 exhibit

Answer Area

Drag items

ControlData movementData transformation

Correct arrangement

  • Data movement
  • Data transformation
  • Control

Explanation

In Azure Data Factory, activity types are categorized by their purpose: Data movement activities (like Copy Activity) transfer data between source and destination stores; Data transformation activities (like Mapping Data Flow, HDInsight Hive, or Azure Databricks) process and transform data using compute engines; and Control activities (like If Condition, ForEach, Execute Pipeline, or Wait) orchestrate the flow and logic of a pipeline without moving or transforming data directly. Each ADF activity maps to exactly one of these three categories based on its core function.

Topics

#Azure Data Factory#ADF Pipeline Activities#Data Integration#ETL/ELT

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