A team wants to measure production prediction accuracy after outcomes arrive several days later. What must the monitoring pipeline support?

1. Associate captured predictions with matching ground-truth outcomes using stable identifiers and time context.
2. Use endpoint CPU utilization as a substitute for prediction correctness.
3. Assume all predictions are correct until a user complains.
4. Compare each prediction with a random label from another request.