Practice Exam

Explanations for each answer:

• Dataflow Gen2 dataflow is incorrect. Dataflow Gen2 dataflows are designed for data transformation and loading, but they focus on individual data flow operations rather than orchestrating multiple items sequentially. While dataflows can be scheduled, they don't provide the activity chaining and dependency management needed to ensure items load one after the other in a specific sequence.
• Warehouse is incorrect. A warehouse is a data storage and analytics solution, not an orchestration tool. Warehouses store structured data and support SQL queries, but they don't provide scheduling or workflow orchestration capabilities to load items sequentially.
• Notebook is incorrect. While you could write custom code in a notebook to orchestrate sequential loading, notebooks themselves don't provide built-in scheduling at 15-minute intervals or native orchestration features. You would need to wrap the notebook in a pipeline or use external scheduling mechanisms, making this approach more complex than necessary.
• Data pipeline is correct. A data pipeline is the correct choice for orchestrating sequential data loading. Pipelines allow you to chain activities together using OnSuccess dependencies to ensure items load one after the other in sequence. You can schedule pipelines to run at specific intervals (such as every 15 minutes) using the Schedule option in the Home ribbon. Data Factory pipelines provide comprehensive orchestration capabilities for running multiple data movements and transformations in a coordinated workflow.