Machine Learning JN0-253 Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   How does Mist AI primarily use machine learning to automate network operations?

   • ABy isolating each network device so that it operates independently without centralized analysis
   • BBy replacing the need for any human intervention in network management
   • CBy requiring administrators to manually review all alerts before any action is taken
   • DBy correlating data from multiple sources to provide actionable insights and automate routine tasks
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2. 12foundation · easy

   In the context of Juniper Mist, what is the primary role of machine learning in a networking environment?

   • ATo provide a direct, manual interface for administrators to troubleshoot every network issue
   • BTo analyze data from the network and identify patterns that can be used to improve operations and user experience
   • CTo replace all manual configuration tasks with static, predefined rules
   • DTo store all network data in a local database for compliance purposes
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4. 13application · medium

   A network architect is explaining to a colleague how Mist AI uses machine learning to improve network operations. Which statement accurately describes a fundamental principle of machine learning as applied by Mist?

   • AMachine learning models improve over time as they are exposed to more data from the network.
   • BMachine learning models are programmed with explicit rules for every possible network scenario.
   • CMachine learning models only work with structured data and cannot handle network telemetry.
   • DMachine learning models are static and require manual updates to incorporate new patterns.
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5. 14expert · hard

   A network operations team is evaluating whether to rely on Mist's predictive analytics to schedule maintenance windows. They have noticed that Mist sometimes predicts issues that do not materialize. The team wants to minimize unnecessary maintenance while still addressing real problems. What is the best approach?

   • AUse predictive analytics as a prioritization tool, but validate predictions with real-time monitoring before scheduling maintenance.
   • BDisable predictive analytics to avoid false positives.
   • CSchedule maintenance immediately for every predicted issue to be safe.
   • DIgnore predictive analytics and rely solely on reactive troubleshooting.
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6. 15application · medium

   A network administrator notices that Mist has flagged an access point as having an 'anomaly' in its client association patterns. The administrator is unsure whether this is a real problem or just a temporary fluctuation. What should the administrator do to determine the severity of the anomaly?

   • ADisable the access point to prevent further issues.
   • BReview the anomaly details in the Mist portal, including the affected clients and the time period of the anomaly.
   • CIgnore the anomaly if no users have complained.
   • DImmediately replace the access point to rule out hardware failure.
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