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Juniper Mist AI, Associate (JNCIA-MistAI) Sample Questions (Q60-Q65):

NEW QUESTION # 60
Which step must you take when configuring rogue AP detection?

A. Enable rogue AP detection.
B. Disable honeypot detection.
C. Set the Radio Resource Management (RRM) interval.
D. Set the proximity zones.

Answer: A

Explanation:
Rogue AP Detection:
Rogue AP detection is crucial for maintaining network security by identifying unauthorized access points.
Configuration Step:
Enable Rogue AP Detection:
The first and necessary step in configuring rogue AP detection is enabling the feature in the Mist system.
Other Steps:
Setting proximity zones, disabling honeypot detection, and setting the RRM interval are additional configurations but not the initial or mandatory step.

NEW QUESTION # 61
Which statement is true about unsupervised AI learning?

A. A human labels the dataset after the AI trains on it.
B. A human must label the dataset before the AI can be trained on it.
C. It is used to analyze and classify unlabeled datasets.
D. It is used to analyze and classify labeled datasets.

Answer: C

NEW QUESTION # 62
Which three statements about Juniper Mist cloud's microservices are correct? (Choose three.)

A. They allow for manual control of feature updates and bug fixes.
B. They allow for Mist to be installed onsite or accessed from the cloud.
C. They provide agile feature updates and bug fixes.
D. They provide increased scalability.
E. They implement machine learning.

Answer: C,D,E

NEW QUESTION # 63
You are asked to create a label that will be applied to a WLAN template.
In this scenario, under which level should you create the label?

A. organization
B. clients
C. WLAN
D. site

Answer: D

Explanation:
When creating a label to be applied to a WLAN template in Mist AI, you should create the label at the site level. This is because WLAN templates are designed to be associated with specific sites or site groups, allowing you to customize WLAN configurations per site. Creating labels at the site level ensures that these configurations are applied appropriately within the desired site context.

NEW QUESTION # 64
Which type of machine learning does Radio Resource Management (RRM) use?

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

Answer: D

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 # 65
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