What constitutes a data audit in a Clarity model, and which fields typically support it?

What constitutes a data audit in a Clarity model, and which fields typically support it?

• A. Affects only performance
• B. Only tracks data types
• C. Only tracks deletions
• D. Audit captures who changed what and when; fields include created_by, created_at, updated_by, updated_at, and change_reason

Answer: (D)

At the heart of a data audit is keeping a history of changes to a record: who made the change, when it happened, and why. This enables accountability, traceability, and the ability to understand how data evolved over time. In a Clarity model, the fields that support this are created_by and created_at, which capture who created the record and when. updated_by and updated_at log who last changed the record and when that change occurred. The change_reason field adds the justification for the modification, providing important context beyond the timestamps and user IDs. This combination gives a complete audit trail: you can see the origin, track every update, and understand the rationale behind edits. It’s not just about performance, data types, or deletions; those fields specifically enable a transparent record of data changes and their context.

At the heart of a data audit is keeping a history of changes to a record: who made the change, when it happened, and why. This enables accountability, traceability, and the ability to understand how data evolved over time.

In a Clarity model, the fields that support this are created_by and created_at, which capture who created the record and when. updated_by and updated_at log who last changed the record and when that change occurred. The change_reason field adds the justification for the modification, providing important context beyond the timestamps and user IDs.

This combination gives a complete audit trail: you can see the origin, track every update, and understand the rationale behind edits. It’s not just about performance, data types, or deletions; those fields specifically enable a transparent record of data changes and their context.