JN0-252 EXAM TOPICS PDF | RELIABLE JN0-252 TEST TIPS

JN0-252 Exam Topics Pdf | Reliable JN0-252 Test Tips

JN0-252 Exam Topics Pdf | Reliable JN0-252 Test Tips

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Tags: JN0-252 Exam Topics Pdf, Reliable JN0-252 Test Tips, Exam Cram JN0-252 Pdf, JN0-252 Valid Dumps Book, JN0-252 Exam Pass Guide

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Juniper JN0-252 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Juniper Mist Cloud Fundamentals: This section covers AI concepts, machine learning, benefits of cloud-based management, Juniper Mist cloud capabilities, and use cases.
Topic 2
  • Juniper Mist Cloud Operations: In this final section, the focus is on API types (RESTful, Websocket, Webhook), and support options (tickets, update information, documentation).
Topic 3
  • Juniper Mist Configuration Basics: In this section, the exam covers user account creation and management. It also covers account role capabilities, authentication methods, initial configurations (factory defaults, device claiming, organization
  • site management), template usage, labels and policies, advanced configurations (subscriptions, certificates, auto-provisioning), etc.

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Juniper Mist AI, Associate (JNCIA-MistAI) Sample Questions (Q79-Q84):

NEW QUESTION # 79
Which two statements correctly describe Mist single sign-on (SSO)? (Choose two.)

  • A. Guest user access cannot use SSO.
  • B. Mist administrative logins cannot use SSO.
  • C. Guest user access can use SSO.
  • D. Mist administrative logins can use SSO.

Answer: A,D

Explanation:
Mist Administrative Logins: Mist administrative logins can utilize Single Sign-On (SSO), allowing administrators to log in using their corporate credentials, enhancing security and ease of access.
Guest User Access: Guest user access cannot use SSO, as SSO is intended for internal users and administrators rather than external guest users who access the network.


NEW QUESTION # 80
In a Mist deployment, the Radio Resource Management feature is an example of which type of machine learning?

  • A. unsupervised learning
  • B. supervised learning
  • C. reinforcement learning
  • D. visual learning

Answer: C


NEW QUESTION # 81
Where does Mist use AI reinforcement learning?

  • A. Mist uses reinforcement learning in its dynamic packet capture service.
  • B. Mist uses reinforcement learning to troubleshoot voice call quality issues.
  • C. Mist uses reinforcement learning to troubleshoot video call connection issue.
  • D. Mist uses reinforcement learning in its Radio Resource Management (RRM) service.

Answer: D

Explanation:
Mist AI uses reinforcement learning in its Radio Resource Management (RRM) service. This approach allows the system to dynamically optimize the performance of the wireless network by adjusting various radio parameters. The RRM service continuously learns and adapts based on network conditions, user behavior, and environmental factors to ensure optimal performance and reliability.


NEW QUESTION # 82
You have five clients on the network and 20 minutes of statistics for each client.
In this scenario, how many user minutes does this equal?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: C

Explanation:
Identify the Scenario: Five clients on the network and 20 minutes of statistics for each client.
Calculation:
User Minutes = 100.
Conclusion:
The total user minutes in this scenario is 100.


NEW QUESTION # 83
Which two settings would you configure in a Mist radio frequency (RF) template? (Choose two.)

  • A. channel width per Wi-Fi band
  • B. band steering setting
  • C. transmit power
  • D. data rates

Answer: A,C


NEW QUESTION # 84
......

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