What are the typical components of a Foundry data model?

• A. Dashboards, charts, and widgets.
• B. Programs, results, budgets, and teams.
• C. Servers, networks, and storage volumes.
• D. Tables or datasets, schemas, relationships/joins, keys, and metadata including lineage and quality tags.

Answer: (D)

Foundry data models are built around the structure and metadata of datasets. The core pieces are tables or datasets that hold the data, each with a schema that defines the fields, data types, and constraints to ensure consistency. How datasets relate is captured through relationships or joins, which enable combining data from multiple sources in meaningful ways. Keys provide unique identifiers for records, supporting precise lookups and merges across datasets. Metadata is central, including lineage that traces where data originated and how it has been transformed, along with quality tags that indicate data quality, freshness, and completeness. Other options refer to visualization (dashboards, charts, widgets) or to organizational and infrastructure aspects (programs, budgets, teams, servers, networks, storage), which are not components of the data model itself.