Cisco CCNA (200-301)Automation and ProgrammabilityHard
A network operations team deploys an AI-driven analytics platform integrated with their wireless controllers. The platform continuously analyzes historical telemetry to establish a baseline of normal client roaming times, then automatically flags deviations before users notice performance issues. Which capability does this scenario best illustrate?
- ASouthbound protocol translation
- BZero-touch provisioning
- CAIOps-based anomaly detection
- DManual threshold-based SNMP trap alerting
Show answer & explanationAnswer & explanation
Correct answer: C. AIOps-based anomaly detection
AIOps applies machine learning to network telemetry to establish behavioral baselines and proactively detect anomalies, enabling issue prediction before user impact occurs. This differs from static, manually configured SNMP threshold alerts, which do not adapt based on learned baselines.
Why the other options are wrong
- A. Southbound protocol translation refers to controller-to-device communication protocols, unrelated to analytics.
- B. Zero-touch provisioning automates initial device deployment/configuration, not ongoing behavioral analysis.
- D. Manual threshold-based SNMP alerting relies on static, human-defined thresholds rather than learned baselines.
AIOps / ML-driven Network Analytics
AIOps applies machine learning to network telemetry data to automatically establish behavioral baselines and proactively detect anomalies, often before they impact users, unlike static rule-based alerting.
- Learns normal baseline from historical data
- Detects anomalies/deviations automatically
- Used in platforms like Cisco DNA Center Assurance
- Proactive vs reactive traditional monitoring
Memory trick: AIOps learns the normal, then shouts when things go abnormal.