A deployed model receives inputs with a substantially different distribution from its training baseline. Labels are not yet available. Which monitoring capability addresses this observation?

1. Treat every input drift alert as conclusive proof of model inaccuracy.
2. Disable data capture because labels are delayed.
3. Report training accuracy as the current production outcome metric.
4. Data-quality monitoring against a suitable baseline, with investigation of distribution changes.