
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 1)
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 1–5
- 1
A cloud provider is designing a multi-tenant AI platform where each tenant runs distributed training jobs on a shared GPU cluster. The provider must isolate tenant traffic while maintaining the low latency and high throughput required for RDMA. The provider is considering two options: (1) VXLAN overlays with hardware offload, and (2) physical partitioning of the network into separate VLANs. Which option should they choose, and why?
Select an answer first - 2
An AI platform team is experiencing intermittent slowdowns in distributed training jobs. The network team suspects that congestion is occurring on specific paths, but they cannot identify which flows are affected because the traffic is highly dynamic. The team needs a monitoring solution that provides real-time, per-flow visibility into the network to pinpoint the congested paths. Which technology should they deploy?
Select an answer first - 3
How does ECN differ from traditional TCP congestion control (e.g., tail drop)?
Select an answer first - 4
How does network virtualization (e.g., VXLAN overlays) support multi-tenant AI environments?
Select an answer first - 5
What is the primary advantage of a fat-tree topology over a traditional hierarchical network for AI training?
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