A cloud provider wants to offer multi-tenant GPU-as-a-Service, where each tenant gets isolated virtual networks for their AI training jobs. The provider must ensure that the overlay network does not degrade the performance of the RDMA traffic between GPUs. Which approach best meets this requirement?

Use a flat L2 network with no isolation

Use VLANs instead of overlays for tenant isolation

Use VXLAN overlays with hardware offload on the ToR switches

Use a software overlay (e.g., VXLAN in the hypervisor) with no offload

CiscoCertified Network Professional Data Center

Domain 4Objective 3

4.3 Describe High-Performance Network Enabling Technologies for AI in Data Center Infrastructure 350-601 Practice Questions (Page 7)

Part of the Automation and Artificial Intelligence domain, which accounts for 15% of the 350-601 exam. Cisco does not publish an official question count, but from its 120-minute exam (~50–80 total, ~8–12 in this domain), expect 3–4 from this objective — we provide 31 practice questions to prepare you well beyond it. (estimate)

31questions here

7free pages

9concepts

15%of the exam

Questions 31–31

31application · medium
A cloud provider wants to offer multi-tenant GPU-as-a-Service, where each tenant gets isolated virtual networks for their AI training jobs. The provider must ensure that the overlay network does not degrade the performance of the RDMA traffic between GPUs. Which approach best meets this requirement?
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4.3 Describe High-Performance Network Enabling Technologies for AI in Data Center Infrastructure 350-601 Practice Questions (Page 7)

Questions 31–31

Keep studying — Automation and Artificial Intelligence