What is the purpose of maintaining a version history for a Clarity data model?

• A. Data volumes
• B. Changes to the data model over time
• C. User access logs
• D. Storage usage

Answer: (D)

Maintaining a version history in a Clarity data model tracks how the model’s structure and definitions change over time. This lets you see when fields or relationships were added or renamed, how data types or rules evolved, and who made each change along with any notes explaining why. With this history, you can compare different versions to understand the model’s evolution, validate that updates align with business needs, and roll back to a previous version if a change causes issues. It also supports governance and collaboration by preserving a clear record of the model’s development and its impact on downstream artifacts like dashboards and data pipelines. This focus on changes over time is what distinguishes version history from concerns about data volumes, user access logs, or storage usage.