6.4 Explain AI (generative and Predictive) and Machine Learning in Network Operations 200-301 Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which capability is an example of automated remediation in an AI-driven network operations environment?

   • AAutomatically rolling back a faulty configuration change that caused an outage
   • BGenerating a report of current network inventory
   • CIdentifying the root cause of a network outage from multiple data sources
   • DPredicting future bandwidth needs based on historical trends
   Reveal Solution Discussion Select an answer first
2. 7expert · hard

   A large enterprise wants to predict network capacity needs for the next quarter. They have historical traffic data, but the data is noisy and includes seasonal variations. They also have a limited budget for model training. Which approach balances accuracy and cost?

   • AUse a generative AI model to create synthetic traffic data
   • BUse a simple moving average of the last month's traffic
   • CUse a supervised learning model with feature engineering to capture seasonality and trends
   • DUse a complex deep learning model without preprocessing
   Reveal Solution Discussion Select an answer first
4. 8expert · hard

   A network team has implemented an AI-based anomaly detection system that flags unusual traffic patterns. However, the system is generating too many false positives, overwhelming the operations team. What is the best course of action?

   • ADisable the system to avoid alert fatigue
   • BSwitch to a generative AI model to create alerts
   • CIncrease the alert volume to gather more data
   • DTune the model's threshold to reduce false positives while monitoring for missed detections
   Reveal Solution Discussion Select an answer first
5. 9application · medium

   A network operations team is evaluating an AI-based system that automatically adjusts firewall rules when it detects a new type of malware traffic. The system learns from past incidents where security analysts manually blocked similar traffic. Which type of machine learning is the system most likely using?

   • AUnsupervised learning
   • BReinforcement learning
   • CSupervised learning
   • DGenerative AI
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A network engineer uses a generative AI assistant to draft troubleshooting steps for a BGP peering issue. The AI suggests checking the neighbor statement, but the engineer knows the issue is an ACL blocking TCP port 179. What is the best way to use the AI output?

   • AAsk the AI to generate a configuration change to fix the ACL
   • BDiscard the AI suggestion entirely and rely only on manual troubleshooting
   • CUse the AI suggestion as a starting point and verify with actual device logs and configurations
   • DFollow the AI suggestion exactly because it is based on common BGP issues
   Reveal Solution Discussion Select an answer first