RUCKUS Updated RCWA Exam Questions and Answers by fergus

Seamless roaming on RUCKUS WLANs is achieved through support for 802.11k , 802.11r , and 802.11v enhancements, which collectively improve handoff efficiency and reduce latency when clients move between APs.

According to RUCKUS One Online Help – Fast Roaming Configuration and RUCKUS AI Documentation – Client Mobility Optimization , the following statements are true:

802.11k (C): Enables APs to provide Neighbor Reports listing surrounding APs and their channels, allowing clients to make faster and more intelligent roaming decisions.

802.11r (D): Implements Fast BSS Transition (FT) , reducing authentication delay during roaming by pre-establishing encryption keys. However, its operation depends on the encryption type —it is supported only with WPA2-Enterprise (802.1X) and WPA2/WPA3-Personal modes, not open WLANs.

The other options are incorrect: 802.11ac aggregation does not affect roaming; 802.11u supports Hotspot 2.0, not fast transition; and 802.11w (PMF) adds management frame protection, not roaming enhancements.

Thus, the correct answers are C (802.11k neighbor lists) and D (802.11r depends on encryption type) .

AI Anomaly Detection in RUCKUS Analytics uses machine learning to detect, classify, and correlate service-impacting events such as authentication failures, RF interference, and backhaul latency.

According to RUCKUS Analytics 3.5 User Guide – AI-Driven Insights , this feature correlates telemetry across APs, clients, and switches to isolate root causes automatically. It identifies deviations from normal baselines and links related issues under unified incident reports.

RUCKUS One Online Help – Anomaly Detection and Correlation Engine confirms this system dramatically reduces troubleshooting time by surfacing the exact source of network degradation.

Other tools like Event Timeline Viewer and Health Dashboard visualize events but do not perform automatic RCA (Root Cause Analysis).