6.4 Explain AI (generative and Predictive) and Machine Learning in Network Operations 200-301 Practice Questions (Page 5)

Questions 21–25

1. 21expert · hard

   A network team wants to use AI to identify the root cause of intermittent application slowness. They have collected packet captures, NetFlow data, and application logs. Which approach is most effective?

   • AUse generative AI to create a summary of the logs
   • BUse reinforcement learning to adjust application settings
   • CUse unsupervised learning to cluster all data without labels
   • DUse supervised learning with labeled incidents to correlate symptoms with root causes
   Reveal Solution Discussion Select an answer first
2. 22expert · hard

   A network operations team is considering using an AI system to automatically remediate network issues. They are concerned about the risk of incorrect actions. What is the best way to mitigate this risk?

   • AUse a generative AI model to explain the actions
   • BDisable automated remediation and only use AI for detection
   • CAllow the AI to act autonomously to speed up remediation
   • DImplement a human-in-the-loop approval process for AI-suggested actions
   Reveal Solution Discussion Select an answer first
4. 23application · medium

   A network operations center (NOC) receives thousands of alerts daily, many of which are false positives. They want to use machine learning to reduce alert noise and identify the alerts that are most likely to indicate a real problem. Which approach is most effective?

   • AUse a generative AI model to generate new alerts that are more accurate.
   • BIncrease the severity threshold for all alerts so only critical ones are shown.
   • CTrain a supervised learning model using historical alerts labeled as 'real issue' or 'false positive'.
   • DUse reinforcement learning to automatically close all alerts.
   Reveal Solution Discussion Select an answer first
5. 24foundation · easy

   Which statement correctly describes a benefit of using AI/ML in network operations?

   • AIt guarantees that all network incidents will be resolved without human intervention.
   • BIt always reduces operational costs regardless of implementation.
   • CIt removes the need for network monitoring tools.
   • DIt can automatically identify patterns in large volumes of telemetry data that are difficult for humans to spot.
   Reveal Solution Discussion Select an answer first
6. 25foundation · easy

   Which output is a typical use of generative AI in network operations?

   • AA list of devices that are likely to fail based on past incidents
   • BA classification of traffic as normal or anomalous
   • CA forecast of link utilization for the next month
   • DA natural-language summary of a network change request
   Reveal Solution Discussion Select an answer first