AI Enhanced RRM is not a static-threshold tuning feature and it is not designed to simply raise AP transmit power. Cisco defines AI Enhanced RRM as a radio resource management technology that applies artificial intelligence and machine learning to optimize RF environments, uses distributed data collection from Cisco wireless controllers with cloud-based analytics, and automates adaptive RF parameter tuning for Cisco wireless networks.

The operational model is telemetry-driven. RF telemetry is collected from APs by the Catalyst 9800 WLC, sent through Cisco Catalyst Center to the Cisco AI Analytics Cloud, analyzed by RRM algorithms, and then configuration-change information is returned through Catalyst Center toward the managed wireless infrastructure. Cisco’s AI-Enhanced RRM deployment guide further identifies DCA, TPC, FRA, and DBS as examples of optimizations performed, meaning the feature enhances dynamic RF control rather than disabling it.

Therefore, option D is the only correct answer. Options A, B, and C describe either legacy/static behavior, harmful power-only logic, or a fixed RF design model that contradicts Cisco AI Enhanced RRM. Reference topics:Automation and AI — AI/ML-driven RF optimization, Catalyst Center assurance, RRM telemetry, DCA, TPC, FRA, and DBS.