AI Concepts JN0-253 Practice Questions (Page 7)

Questions 31–35

1. 31application · medium

   A network administrator wants to ask a question about the network using everyday language, such as 'Are there any issues with the guest Wi-Fi?' and receive a clear answer. What should they use?

   • AUse AI for Automation to automatically fix any issues with the guest Wi-Fi.
   • BUse AI for Troubleshooting to manually investigate guest Wi-Fi issues.
   • CUse AI for Analytics and Reporting to generate a report on guest Wi-Fi issues.
   • DUse Marvis, which uses natural language processing to understand the query and provide an answer.
   Reveal Solution Discussion Select an answer first
2. 32expert · hard

   A large enterprise uses Juniper Mist for Wi-Fi assurance. The network team has enabled AI-driven insights and automation. Recently, the AI has been automatically adjusting the transmit power of access points to optimize performance. However, some users in a specific area are now experiencing weak signals. The team suspects that the AI's adjustments are causing the issue. What should they do?

   • AIncrease the transmit power manually for the affected access points to compensate.
   • BImmediately revert the transmit power settings to their previous values to restore service.
   • CDisable AI-driven automation and manually set the transmit power for all access points.
   • DCheck the AI-driven insights to see why the transmit power was adjusted and whether there are any correlated issues.
   Reveal Solution Discussion Select an answer first
4. 33foundation · easy

   How do machine learning algorithms in Juniper Mist primarily improve network operations?

   • ABy learning from historical network data to identify patterns and predict future behavior.
   • BBy applying fixed thresholds to all network metrics.
   • CBy storing all network data locally on each access point.
   • DBy requiring manual input for every network change.
   Reveal Solution Discussion Select an answer first
5. 34foundation · easy

   What is an example of an adaptive adjustment made by AI for performance optimization?

   • AChanging the transmit power of an access point based on interference levels.
   • BRebooting all access points at midnight.
   • CRequiring users to manually select the best Wi-Fi network.
   • DDisabling all guest networks.
   Reveal Solution Discussion Select an answer first
6. 35application · medium

   A hospital uses Juniper Mist for its Wi-Fi network. The network team notices that the AI-driven insights are flagging an unusual pattern of client disconnects in the radiology department every morning at 9:30 AM. The team wants to understand why this is happening and prevent it. What is the most effective way to use Mist AI to address this?

   • AImmediately restart all access points in the radiology department to clear the issue.
   • BUse the AI-driven insights to correlate the disconnects with other network events and identify a common cause, such as a scheduled interference source.
   • CManually review the configuration of all access points in the radiology department to look for misconfigurations.
   • DDisable the AI insights for the radiology department to avoid false alarms.
   Reveal Solution Discussion Select an answer first