JN0252 Mist AI, Associate (JNCIAMistAI) Free Practice Test — 30 Questions

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Question 1 of 30

During a routine network performance audit, Elara, a network administrator for a large retail chain, notices a significant increase in client-reported Wi-Fi instability and slow application response times across multiple store locations managed by Mist AI. Initial manual checks of AP health and basic RF metrics show no obvious anomalies. Elara suspects that a dynamic AI-driven feature, intended to optimize the wireless environment, might be inadvertently causing the issue. Which of the following approaches best utilizes the capabilities of Mist AI to diagnose and resolve this problem?

Reviewing the Mist AI dashboard for proactive anomaly detection alerts, correlating recent AI-driven RF optimization events with reported client performance degradation, and examining detailed client troubleshooting reports for patterns of association failures or high retransmission rates on affected SSIDs.
Manually reconfiguring all AI-driven RF optimization parameters to default settings across all affected locations and observing if performance improves over a 24-hour period.
Escalating the issue to the Mist support team without first attempting to utilize the platform's built-in diagnostic tools to gather specific evidence of the AI's behavior.
Disabling all AI-driven features within the Mist system temporarily to isolate the problem, then systematically re-enabling each feature one by one to identify the culprit.

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