Machine Learning JN0-253 Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   What action does Juniper Mist typically take when a machine learning model detects a network anomaly?

   • AIt silently ignores the anomaly until an administrator manually investigates
   • BIt resets all access points to their factory default settings
   • CIt generates an alert for administrators with details about the potential issue
   • DIt immediately shuts down the affected network segment
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A network administrator notices that the Mist portal has generated an anomaly alert for a specific access point. The alert indicates unusual client connection behavior, but no clients have reported issues. The administrator wants to understand the context of this alert before taking action. What should the administrator do first?

   • AOpen the anomaly alert in the Mist portal and review the associated client insights and timeline.
   • BDisable the anomaly detection feature to prevent future alerts.
   • CImmediately reboot the access point to clear the anomaly.
   • DContact the ISP to check for upstream network issues.
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   Which scenario is a common use case for machine learning in Juniper Mist?

   • AProviding a static map of the physical office layout
   • BReplacing the need for any network monitoring or analytics
   • CDynamically capturing packets when an anomaly is detected to aid in troubleshooting
   • DManually configuring every access point through a command-line interface
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5. 9application · medium

   A company wants to reduce the time IT staff spend on routine network troubleshooting. They have deployed Juniper Mist and want to leverage its self-driving network capabilities. Which Mist feature would be most effective in automatically resolving common issues without human intervention?

   • AThe dashboard, which provides visibility into network health.
   • BThe virtual assistant, which can guide users through self-service troubleshooting.
   • CAutomated actions based on ML-detected anomalies, such as restarting a stuck client session.
   • DDynamic packet capture, which can be used to analyze issues after they occur.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A network administrator is curious about how Mist's machine learning models are trained to recognize network anomalies. They want to understand the data collection process. Which statement accurately describes how Mist collects data for training its models?

   • AMist requires administrators to manually upload network logs for model training.
   • BMist collects data only from the administrator's own network and trains models locally on the Mist appliance.
   • CMist uses publicly available datasets to train its models, independent of customer data.
   • DMist collects telemetry data from devices and clients, which is anonymized and used to train models in the cloud.
   Reveal Solution Discussion Select an answer first