What is the role of notebooks in governance and reproducibility in Fabric?

• A. Notebooks provide reproducible experiments, contain lineage/outputs, and can be versioned; tie results to data assets for reproducibility.
• B. Notebooks are only for exploratory analysis with no governance benefits.
• C. Notebooks replace data catalogs and governance.
• D. Notebooks are not suitable for reproducibility and lineage tracking.

Answer: (A)

Notebooks in Fabric function as a reproducible, governable record of data work. They store the code, parameters, configurations, and outputs of your analyses, and they can be versioned and managed like other artifacts. When a notebook run is linked to specific data assets, you create a clear lineage: exactly which data version was used, what steps were taken, and what results were produced. This linkage makes it possible to reproduce results by re-running the notebook in the same environment with the same data version.

Versioning of notebooks and their environments (libraries, kernels, and runtime settings) supports auditability and rollback, so you can compare runs, track changes over time, and ensure consistency across teams. Governance is strengthened because outputs, lineage to data assets, and access control can be tied to the notebook, enabling traceability, policy enforcement, and easier discovery through the data catalog.

In short, notebooks provide the reproducible experiments, the outputs and lineage, and the versioning that tie results back to data assets—exactly what supports reproducibility and governance in Fabric.