What is the best practice for handling voice traffic with dynamic segmentation on AOS-CX switches?

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Multiple Choice

What is the best practice for handling voice traffic with dynamic segmentation on AOS-CX switches?

Explanation:
In dynamic segmentation, enforcing policies at the edge and keeping time-sensitive traffic local is key. Authenticating on the switch ensures the port is secured and can immediately apply the appropriate segmentation policy (such as a voice SGT and QoS class) without waiting for a central device. Forwarding voice traffic locally means it is processed and switched right where it originates, minimizing additional hops. For voice, low latency and jitter are crucial, so avoiding tunneling traffic to a controller or central tunnel gateway preserves call quality and reduces delay. Central authentication or port-based tunneling would route voice traffic through extra infrastructure, adding latency and potential bottlenecks, which is undesirable for real-time voice. By contrast, switch-level authentication with local forwarding supports immediate policy enforcement and optimal voice QoS while still leveraging dynamic segmentation at the edge.

In dynamic segmentation, enforcing policies at the edge and keeping time-sensitive traffic local is key. Authenticating on the switch ensures the port is secured and can immediately apply the appropriate segmentation policy (such as a voice SGT and QoS class) without waiting for a central device. Forwarding voice traffic locally means it is processed and switched right where it originates, minimizing additional hops. For voice, low latency and jitter are crucial, so avoiding tunneling traffic to a controller or central tunnel gateway preserves call quality and reduces delay. Central authentication or port-based tunneling would route voice traffic through extra infrastructure, adding latency and potential bottlenecks, which is undesirable for real-time voice. By contrast, switch-level authentication with local forwarding supports immediate policy enforcement and optimal voice QoS while still leveraging dynamic segmentation at the edge.

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