TheMarvis Virtual Network Assistant (VNA)in Juniper Mist AI uses real-time telemetry and AI-driven correlation to identify hardware and connectivity issues, including bad cable conditions. When a“Bad Cable”alert is raised, Marvis analyzes physical link metrics from the switch and AP—such as CRC errors, FCS drops, and link flaps—to isolate the root cause.

According to the Juniper Mist AI Operations Guide, theMarvis Actions dashboardprovides contextual insights into the issue, showing whether the fault lies in thephysical cableitself or theswitch portit is connected to. Specifically, the dashboard highlights:

The affected device and port.

Whether the degradation originates from theport hardwareor thecabling.

Suggested corrective action (e.g., replace the cable or check switch hardware).

Marvis uses its AI-driven root cause analysis engine to distinguish between cable integrity problems and port failures by examining electrical signature anomalies and historical telemetry.

Options B, C, and D are incorrect because Marvis does not display cable category ratings or identify individual broken Ethernet pairs—it focuses on identifying and isolating the fault domain.

Therefore, the correct answer isA. If the port or cable is at fault.