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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. An organization deploys a new AI training fabric that uses RoCEv2 for GPU communication. The network architect designs the QoS configuration to ensure reliable RDMA transport and must meet these requirements:
- Support 256 GPU servers with RDMA connectivity.
- Prevent any packet loss that causes RDMA connection failures.
- Maintain consistent low-latency communication with a target of less
than 10 microseconds.
- Use industry-standard protocols and configurations.
Which configuration ensures that RoCEv2 operates as a lossless transport?

A) Configure weighted fair queuing to prioritize RDMA traffic over other traffic classes.
B) Enable Priority Flow Control on the traffic class carrying RoCEv2 packets.
C) Implement traffic shaping to smooth RDMA traffic bursts and prevent congestion.
D) Set the RDMA traffic to use the highest DSCP value to ensure priority forwarding.

2. A medical company has existing third-party AI servers and NVMe storage, but they want to purchase Cisco network switches with a cloud managed feature for simplicity. Which solution best meets the requirements?

A) Nexus Dashboard with Nexus 9000 Series Switches and Cloud license
B) Bring Your Own AI (BYO AI) HyperFabric with Cisco 6000 Series Switches and Premier license
C) HyperFabric AI with Cisco 6000 Series Switches and Premier license
D) Bring Your Own AI (BYO AI) HyperFabric with Cisco 6000 Series Switches and Essentials license

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

4. A financial company plans to deploy an AI training and inference infrastructure to support its customers. The team must use a solution that provides 96 GPUs, aligns with NVIDIA-compliant reference architectures, and enables cloud-based management of the entire on-premises network environment. Which Cisco solution meets the requirements?

A) Cisco HyperFabric AI Small AI Cluster with Cisco 6000 switches and AI servers on premises
B) Cisco Nexus Dashboard deployed in AWS or Azure with Nexus 9000 switches and AI servers on premises
C) Cisco HyperFabric AI Medium AI Cluster with Cisco 6000 switches and AI servers on premises
D) Cisco Intersight AI fabric with Nexus 9000 switches and AI servers on premises

5. Which network design approach should be used to build a high-performance, nonblocking AI/ML data center fabric that supports 64 fully equipped UCS C885A nodes and provides the lowest possible latency and lossless Ethernet?

A) traditional three-tier
B) flat Layer 2
C) rail optimized
D) leaf-spine

Solutions: