How does Fabric's data catalog facilitate data discovery?

• A. It indexes datasets, schemas, lineage, access policies, and usage metadata, enabling search, discovery, and governance across assets.
• B. It only indexes datasets.
• C. It indexes external data sources but not lineage.
• D. It stores metadata but does not support search.

Answer: (A)

Fabric's data catalog enables data discovery by indexing a broad set of metadata for each asset—datasets, schemas, data lineage, access policies, and usage metadata—so you can search across the catalog and understand how assets connect and are governed. This means you can find data by topic or domain, inspect the data’s origin and its flow to downstream systems, verify who can access it and what rules apply, and see how the data is being used and how fresh it is. That combination of rich, interconnected metadata and searchable context makes discovery practical and supports governance across assets. The other options are too narrow, since indexing only datasets misses schema, lineage, and policy context, excluding lineage loses provenance, and storing metadata without search prevents quick discovery.