Anomaly detection compares observed telemetry against baselines rather than relying exclusively on static thresholds. Recurrent association failures, unusual RF retries, interface errors and abnormal device restarts can then be surfaced before incident volume grows. AI Insights should be treated as a prioritized diagnostic hypothesis: verify affected sites and devices, inspect contributing evidence, and implement a controlled corrective change. Not every recommendation is executed automatically; change control and operational ownership remain with administrators.
B reduces the platform to ticket creation, ignoring telemetry correlation and recommendations. C incorrectly portrays hardware replacement as a standard autonomous step. Engineers still assess whether an insight points to RF conditions, authentication, software, or failing hardware.
Official HPE references | AirMatch • AOS-10 Cloud Services | Study-guide topic: Network Management with HPE Aruba Networking Central
Contribute your Thoughts:
Chosen Answer:
This is a voting comment (?). You can switch to a simple comment. It is better to Upvote an existing comment if you don't have anything to add.
Submit