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Cisco 300-640 Exam Syllabus Topics:

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

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

2. A Cisco UCS C885A M8 server contains a GPU sled configured with six power supply units (PSUs) in an N+2 redundancy configuration. The workload on the GPU sled is currently drawing a load of 4500W. Using Power Save Mode, how many PSUs can be placed into standby mode to improve power efficiency without compromising redundancy?

A) 0
B) 1
C) 2
D) 3

3. A customer is deploying a new AI fabric with all new NVIDIA GPUs and must verify the performance between the nodes in the network. Which tool must be used to validate the customer benchmarks?

A) iPerf
B) Spirent
C) IXIA
D) NCCL

4. What is a purpose of Cisco AI PODs?

A) to deliver modular AI hardware components that can be integrated with third-party software platforms
B) to provide a turnkey, full-stack infrastructure for AI training, fine-tuning, and inferencing
C) to offer a flexible AI infrastructure focused on inferencing workloads with optional training capabilities
D) to enable AI lifecycle management through cloud-native software with hardware support limited to compute servers

5. A network team is configuring quality of service (QoS) for RoCEv2 traffic on a VXLAN fabric. The team must ensure that congestion notification packets (CNP) generated by storage targets are never dropped in the network, as these packets are critical for congestion control feedback. How must CNP packets be handled in the QoS configuration to ensure reliable delivery?

A) Classify CNP packets to a high-priority queue using their DSCP marking.
B) Apply traffic shaping to CNP packets to prevent them from causing additional congestion.
C) Enable Priority Flow Control specifically for CNP packets on a dedicated CoS value.
D) Configure CNP packets to use the same queue as regular RoCEv2 data traffic.

Solutions: