試験JN0-253 トピック2 問題102 スレッド

Marvis, the AI-driven Virtual Network Assistant inJuniper Mist, uses continuous telemetry analysis and AI correlation to identifybad cable conditions. It does this by examining interface-level statistics gathered from switches and access points throughWired Assurance.
According to theJuniper Mist Marvis Operations and Troubleshooting Guide:
"Marvis detects bad cable issues by analyzing telemetry patterns such as CRC errors, FCS errors, packet drops, and link flaps that collectively match a known cable fault signature." When such patterns are detected, Marvis automatically generates anAI Actionindicating aBad Cableissue and identifies whether the problem is with theportor thecable. This proactive detection allows administrators to replace faulty hardware before it impacts network users.
Options A, B, and C are incorrect because Marvis does not perform active pinging, random packet captures, or random cable testing. Its detection is entirelyAI and telemetry-based.
Therefore, the correct answer isD. Marvis analyzes metrics, such as interface errors, that match a bad cable pattern.
References:- Juniper Mist Marvis AI Operations Guide- Juniper Mist Wired Assurance and Telemetry Analytics Documentation- Juniper Mist AI Troubleshooting and Automation Overview