A candidate model should be measured on production-like inputs without affecting the user's served response. Which approach best fits?

1. Maintain suitable minimum serving capacity.
2. Use shadow evaluation with controlled data handling.
3. Use a controlled canary or traffic-split rollout.
4. Profile serving work and benchmark suitable resource configurations.