Which option best describes the practice of ensuring simulations have consistent configurations across runs?

• A. Increasing the number of participants
• B. Using inconsistent scenarios
• C. Allowing freeform interpretation of objectives
• D. Implementing version-controlled configurations and fixed scenarios.

Answer: (D)

The key idea is repeatability: you want to run simulations under the same setup every time so outcomes are comparable and traceable. Using version-controlled configurations means every parameter, file, and setting is tracked and can be exactly reproduced later. This keeps the exact system state intact from one run to the next, so you can reliably compare results, diagnose changes, and audit what was used. Pairing that with fixed scenarios ensures the inputs, objectives, and conditions don’t drift between runs, preventing incidental variation from clouding performance or training outcomes.

Increasing the number of participants changes the dynamics and can skew results. Inconsistent scenarios introduce variability that makes comparison unreliable. Freeform interpretation of objectives can lead to different goals and methods between runs, breaking reproducibility.