Large and midsize campus networks face unique challenges due to their scale, diversity of devices, and evolving service demands. Below is an analysis of each option:
Unknown threats must be detected and contained to prevent intrusion and spread : Security is a top priority in campus networks. Advanced threat detection mechanisms, such as AI-driven analytics and sandboxing, are essential to identify and mitigate unknown threats before they impact the network.
Diversified access terminals and services are calling for a converged network : Modern campus networks must accommodate a wide range of devices (e.g., smartphones, IoT devices, laptops) and services (e.g., voice, video, data). A converged network architecture simplifies management and ensures seamless connectivity across all devices.
As applications and services surge, the network needs to be automated to address the deployment and policy complexity : Automation tools, such as SDN and intent-driven networking (IDN), help streamline network deployment and policy enforcement, reducing manual intervention and minimizing errors.
Network O&M needs to be automated and intelligent to perceive user experience anytime and anywhere : Intelligent O&M solutions leverage AI and machine learning to monitor network performance, predict issues, and optimize user experience in real time.
All four options accurately describe the service requirements of large and midsize campus networks.
[References:, Huawei Campus Network Solution Overview, HCSA-Presales-IP Network Documentation., , , , , ]
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