What is the benefit of using Fabric notebooks over manual uploads for data ingestion?

• A. Notebooks provide an automated approach to ingestion and transformation.
• B. Notebooks can orchestrate the Copy Data activity and transformations.
• C. Notebooks offer a user-friendly, low-code experience for large semantic models.
• D. Notebooks require manual data uploads for ingestion.

Answer: (A)

Notebooks enable an automated way to bring data in and apply transformations, which is the main benefit over manual uploads. With a notebook, you encode the entire ingestion pipeline as executable code: connect to sources, read data, perform cleaning and transformations, enforce schemas, and write to the destination—all in one reusable flow. You can parameterize the process, run it on a schedule or trigger it from events, and reuse the same logic for different datasets. This makes ingestion repeatable, faster, and less error-prone because human steps are minimized.

While notebooks can also help with orchestration and may offer convenient interfaces, the core advantage here is the automation and consistency of ingestion and transformation. The idea that notebooks require manual uploads is contrary to how they’re designed to work.