Dynamic data is data that:

• A. Changes as workflows are used
• B. Never changes after setup
• C. Is fixed and archived
• D. Is copied to backups

Answer: (A)

Dynamic data is data that changes over time as activities and processes unfold. It reflects the current state of a system, updating as workflows run and events occur—for example, a order status, a customer balance, or sensor readings that evolve as tasks are performed. Because it actively evolves with operations, it best fits the idea that data changes as workflows are used. In contrast, data that never changes after setup is static, data that is fixed and archived is stored in a past state, and data copied to backups is simply a duplicate of existing data, not inherently about how the data changes during normal use.