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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. A network architect designs a Cisco AI fabric with spine-leaf topology. What is the primary advantage of this architecture for AI training workloads?

A) Simplified wireless integration
B) Reduced need for IP addressing
C) Predictable low-latency east-west traffic
D) Elimination of routing protocols

2. A network operations team deploys HyperFabric AI and wants to monitor fabric health to proactively identify performance issues. The team must track metrics specifically relevant to AI training workloads. Which metric is most critical for identifying congestion issues that could impact AI training performance in a HyperFabric AI deployment?

A) PFC pause frame transmission rate per interface
B) BGP EVPN route count per leaf switch
C) spanning tree topology change notifications
D) VXLAN tunnel packet encapsulation rate

3. A national law firm is deploying a RAG solution for their legal research team to more efficiently use their 50 TB of confidential data and documents when preparing new contracts and briefs.
They decided on a UCS X-Series chassis equipped with four GPUs and six X210c servers. Which storage solution fits this deployment?

A) local storage in a RAID 5 configuration
B) local storage in a JBOD configuration
C) tape storage
D) IP-based storage array

4. A Cisco AI cluster requires segmentation between multiple research teams sharing the same physical infrastructure. Which solution provides scalable tenant isolation?

A) Static NAT
B) Hub-and-spoke WAN
C) VXLAN overlays
D) VLAN-only design

5. A network engineer is deploying an AI training fabric using Cisco Nexus switches with RoCEv2 enabled. During testing, packet drops occur when traffic bursts exceed buffer capacity. Which feature should be configured to minimize congestion and improve lossless Ethernet performance for GPU traffic?

A) BPDU Guard
B) Storm Control
C) Priority Flow Control
D) DHCP Snooping

Solutions: