The correct answer isDbecauseAruba Network Insight(part of Aruba Central’s AIOps capabilities) is specifically designed toautomate troubleshooting, detect anomalies, and provide optimization recommendations.It uses AI/ML-based analytics to reduce mean time to resolution (MTTR), optimize network performance, and proactively prevent issues before they impact users.
Relevant extracts from official HPE Aruba Networking documentation:
“Aruba Network Insight leverages machine learning to automatically detect problems, recommend resolutions, and optimize performance across the network.”
“By automating troubleshooting, IT teams spend less time firefighting and more time on strategic initiatives.”
“Network Insight correlates user experience data with infrastructure performance to provide actionable recommendations.”
“With AI-driven AIOps, Aruba Central reduces manual troubleshooting and ensures networks remain optimized.”
Why the other options are incorrect:
ADynamic Segmentation provides consistent role-based security policies, not troubleshooting automation.
BFabric Composer automates data center fabric operations, not network troubleshooting for campus/edge environments.
CClearPass Policy Manager enforces access policies but does not provide optimization or troubleshooting automation.
References (HPE Aruba Networking Solutions / Study Guides):
Aruba Central AIOps and Network Insight — Solution Overview
Aruba ESP AI-Powered Troubleshooting — White Paper
Aruba Central AI Insights and Recommendations — Product Brief
Aruba Central Network Optimization — Deployment Guide
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