Cisco CCNA (200-301)Automation and ProgrammabilityMedium
A service provider deploys an AI/ML-based network operations platform that continuously analyzes historical bandwidth utilization trends across WAN links. The platform proactively alerts engineers weeks in advance that a specific link is projected to exceed 90% utilization, allowing capacity to be upgraded before congestion occurs. Which AIOps capability does this scenario best illustrate?
- ARole-based access control enforcement
- BAnomaly detection based on real-time traffic spikes
- CAutomated firmware patching across devices
- DPredictive capacity planning using trend analysis
Show answer & explanationAnswer & explanation
Correct answer: D. Predictive capacity planning using trend analysis
Predictive capacity planning uses machine learning on historical trend data to forecast future resource needs, such as bandwidth exhaustion, enabling proactive infrastructure upgrades before problems occur. This differs from anomaly detection, which flags sudden deviations from normal behavior in real time.
Why the other options are wrong
- A. RBAC governs user permissions, not network performance forecasting.
- B. Anomaly detection identifies sudden, unusual deviations, not gradual long-term trend forecasting.
- C. Firmware patching automation is unrelated to bandwidth trend forecasting.
Predictive Capacity Planning (AIOps)
An AI/ML network operations capability that analyzes historical performance trends to forecast future resource needs, enabling proactive capacity upgrades before issues arise.
- Uses historical trend data, not just real-time snapshots
- Differs from anomaly detection, which flags sudden abnormal events
- Enables proactive rather than reactive network management
Memory trick: Forecast the future traffic wave before it crashes the shore.