A team introduces a candidate model but wants only a small share of live requests to reach it while comparing results. Which deployment capability is relevant?

1. Overwriting all production artifacts before collecting evidence
2. Deleting the previous model's evaluation results
3. Controlled traffic allocation between served model versions
4. Sending every request to an offline feature engineering notebook