iMaster NCE-CampusInsight is anintelligent O&M analysis componentin Huawei’s CloudCampus Solution, designed to provide deep visibility, experience assurance, and fault diagnosis based onreal service traffic and user behavior. The statement is incorrect because CampusInsight doesnot rely on SNMP technologyto achieve its core capabilities.

According to HCIP Datacom Campus Network documentation, traditional SNMP is mainly used for basic device monitoring, such as interface status, CPU usage, memory usage, and simple alarms. SNMP focuses ondevice-level metricsand does not provide sufficient granularity to analyze application performance, user experience, or end-to-end service paths.

In contrast, iMaster NCE-CampusInsight usestelemetry, traffic sampling, flow analysis, and packet-level inspection technologiesto collect real-time and fine-grained data directly from network devices. These technologies allow CampusInsight to analyzeactual service traffic, identify application behavior, locate faults across the network path, and proactively detect network exceptions that affect user experience.

CampusInsight correlates data such as flow information, latency, packet loss, and service reachability to perform intelligent analysis and root cause identification. This enables capabilities like application experience assurance, abnormal traffic detection, and proactive fault prediction, which are beyond the scope of SNMP-based monitoring.

Therefore, because iMaster NCE-CampusInsight does not use SNMP as its primary data collection method and instead relies on advanced telemetry and traffic analysis technologies, the statement isFALSE.