Key points

• Data Factory orchestrates scheduled or triggered data movement and transformation activities.
• Integration runtime, source and sink connectivity, credentials, dependencies, monitoring, and retry behavior must be designed together.

Best-known use cases

• Copy data from a private on-premises source, invoke transformations, and load a curated destination.

What candidates often confuse it with

• Data Factory coordinates data pipelines; Event Hubs ingests continuous streams and Synapse supplies analytical processing surfaces.

Key takeaway

Choose Data Factory for managed batch or hybrid data movement with workflow orchestration.

Relevant exam tasks

• D2.3.S1 — Recommend a solution for data integration
• D4.3.S5 — Recommend a solution for migrating unstructured data

Learn more

• Azure Data Factory introduction