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Juniper Mist AI, Associate (JNCIA-MistAI) Sample Questions (Q90-Q95):

NEW QUESTION # 90
Using the Mist UI, where do you look for high priority end-user issues on the network?

A. Marvis Actions
B. Premium Analytics
C. Network Analytics
D. Occupancy Analytics

Answer: A

NEW QUESTION # 91
Which machine learning method uses unlabeled data sets?

A. Reinforcement learning
B. Cognitive learning
C. Unsupervised learning
D. Supervised learning

Answer: C

Explanation:
InJuniper Mist AI, variousmachine learning (ML)techniques are applied across the platform to analyze network telemetry and improve performance insights. Among these,unsupervised learningplays a critical role in identifying patterns, trends, and anomalies in unlabeled datasets-data that has not been pre-classified or annotated.
According to theJuniper Mist AI and Machine Learning Overview:
"Unsupervised learning enables Mist AI to automatically detect abnormal patterns or clusters in large volumes of unlabeled network data, allowing the system to identify anomalies and optimize network behavior without human labeling." This method allows Mist AI to autonomously recognize deviations in user experience, traffic behavior, or radio performance without prior definitions, helping to enhance predictive analytics and anomaly detection.
By contrast:
* Supervised learningrequires labeled training data.
* Reinforcement learninglearns through trial-and-error feedback loops.
* Cognitive learningis not a formal ML category-it refers to human-inspired reasoning.
Therefore, the correct answer isD. Unsupervised learning.
References:- Juniper Mist AI and Machine Learning Overview- Juniper Mist Cloud Architecture and AI Engine Guide- Juniper Mist Predictive Analytics and Correlation Engine (PACE) Documentation

NEW QUESTION # 92
Which type of machine learning does Radio Resource Management (RRM) use?

A. Reinforcement learning
B. Cognitive learning
C. Unsupervised learning
D. Supervised learning

Answer: A

Explanation:
TheAI-driven Radio Resource Management (RRM)system inJuniper Mist Wireless Assuranceemploys reinforcement learningto continuously optimize wireless radio parameters such as channel selection, transmit power, and channel width.
According to theJuniper Mist Wireless Assurance and AI-Driven RRM Guide:
"The RRM system leverages reinforcement learning techniques to dynamically adjust radio configurations based on environmental conditions, user density, and interference patterns." Reinforcement learning enables the Mist AI system to make decisions by continuously evaluating the outcome of past configurations and improving future adjustments. This ensures that Mist RRM can autonomously optimize RF conditions for coverage and capacity without manual intervention.
Therefore, the correct answer isC. Reinforcement learning.
References:- Juniper Mist Wireless Assurance and AI-Driven RRM Guide- Juniper Mist AI and Machine Learning Architecture Documentation- Juniper Mist Cloud Operations and Optimization Overview

NEW QUESTION # 93
In the Mist UI, what are two Marvis Actions for the AP category? (Choose two.)

A. High CPU
B. MTU Mismatch
C. Health Check Failed
D. Coverage Hole

Answer: C,D

Explanation:
Coverage Hole: Marvis Actions can identify coverage holes where the wireless signal is weak or absent, indicating potential areas that need additional access points or adjustments.
Health Check Failed: This action indicates that the health check, which monitors the performance and connectivity of an access point, has failed, suggesting issues that need to be addressed.

NEW QUESTION # 94
Which device detects a Layer 1 bad cable action within Marvis Actions?

A. wired client
B. wireless client
C. access point
D. Mist Edge

Answer: D

Explanation:
The Mist Edge device is responsible for detecting Layer 1 issues, such as bad cable actions, within the Marvis Actions framework.
Mist Edge integrates with Marvis AI to provide detailed insights into network health, including physical layer issues like faulty cables, which can impact network performance. By identifying and alerting administrators to these problems, Mist Edge helps maintain the integrity and reliability of the network infrastructure.

NEW QUESTION # 95
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