Benefits of AI in Network Operations: Reduced MTTR, Improved Capacity, Automated Security
Which three of the following are benefits of integrating AI into network operations? (Choose three.)
Quick Answer
The correct answer is automated enforcement of security policies based on real-time risk analysis, alongside reduced mean time to repair (MTTR) and improved capacity planning. AI reduces MTTR by correlating telemetry and logs to rapidly diagnose incidents, while it improves capacity planning by analyzing traffic patterns to predict future demands for proactive scaling. Automated security enforcement uses real-time risk analysis to dynamically adjust firewall or ACL rules, a key benefit tested on the CCNA 200-301 v2 exam. A common trap is assuming AI eliminates all downtime or human oversight, but unexpected hardware failures still occur, and initial device setup requires human input. Remember the mnemonic “RAS” for Reduced MTTR, Automated security, and improved capacity Scaling to avoid distractors like “zero configuration” or “complete downtime elimination.”
⚠ Common exam trap
Candidates often mistake AI's ability to automate specific tasks for a complete replacement of human roles or an unrealistic promise of absolute network reliability—AI enhances operations, it does not make them foolproof.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Reduced mean time to repair (MTTR) through faster incident diagnosis
AI reduces mean time to repair (MTTR) by rapidly diagnosing incidents through automated correlation of telemetry and logs. It improves capacity planning by analyzing traffic patterns and predicting future demands, enabling proactive scaling. Automated security policy enforcement uses real-time risk analysis to adjust rules dynamically. The three distractors are wrong because AI cannot guarantee complete elimination of network downtime (unexpected hardware failures still occur), zero configuration for new devices (initial setup and integration still require human input), or total removal of human engineers (AI augments but does not replace strategic oversight and complex problem-solving).
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1 more way this is tested on 200-301
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Variation 1. Which three of the following are key benefits of integrating AI into network operations? (Choose three.)
medium- .Complete elimination of the need for human network administrators
- .Automatic reconfiguration of physical cabling without manual intervention
- ✓ .Automated detection and correlation of anomalies across the network
- ✓ .Predictive maintenance by analyzing historical performance data to forecast failures
- .Guaranteed 100% network uptime through self-healing algorithms
- ✓ .Real-time traffic classification and policy enforcement using machine learning models
Why : The three correct answers highlight practical AI benefits: anomaly detection correlates diverse telemetry (NetFlow, SNMP) to identify issues faster; real-time traffic classification uses ML models for dynamic policy enforcement without manual rule updates; predictive maintenance analyzes historical data to forecast failures, enabling proactive intervention. The wrong options are unrealistic: AI cannot eliminate all human administrators (complex troubleshooting still needs humans), cannot guarantee 100% uptime (failures still occur), and cannot automatically reconfigure physical cabling (that requires physical access).
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This 200-301 practice question is part of Courseiva's free Cisco certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 200-301 exam.