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Cisco Implementing Cisco Data Center AI Infrastructure : 300-640 Exam

300-640 actual test
  • Exam Code: 300-640
  • Exam Name: Implementing Cisco Data Center AI Infrastructure
  • Updated: Oct 01, 2026
  • Q & A: 82 Questions and Answers
  • PDF Demo
  • PC Test Engine
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  • Total Price: $59.99  

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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Security and Governance in AI Data Centers- Infrastructure security
  • 1. Network segmentation and policy enforcement
    • 2. Secure access to AI workloads
      Compute and Storage for AI Infrastructure- Compute architecture
      • 1. HPC-style scaling considerations
        • 2. GPU-based compute nodes
          - Storage systems
          • 1. Distributed storage concepts
            • 2. High-throughput storage for AI training data
              Data Center Networking for AI Workloads- High-performance fabric design
              • 1. Leaf-spine architecture in AI environments
                • 2. Low-latency switching and routing considerations
                  - Cisco Data Center networking technologies
                  • 1. Cisco Nexus platform concepts
                    • 2. Cisco ACI integration concepts
                      AI Infrastructure Deployment and Operations- Deployment models
                      • 1. Hybrid AI infrastructure integration
                        • 2. On-premises AI clusters
                          - Operations and lifecycle management
                          • 1. Performance tuning and optimization
                            • 2. Monitoring and observability
                              Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
                              • 1. Data pipeline and workload characteristics
                                • 2. Compute, GPU, and acceleration concepts

                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

                                  Question #1

                                  A global enterprise is deploying a new AI-driven analytics platform that requires high-performance GPU acceleration, large memory capacity, and robust virtualization support. The compute and GPU resources selected must provide direct GPU to GPU access leveraging NVLink technology.
                                  Which set of products meets the requirements?

                                  • A. UCS C885A M8 with NVIDIA H200 GPU
                                  • B. UCS C220 M8 with NVIDIA A16 GPU
                                  • C. UCS C845A M8 with AMD MI210 GPU
                                  • D. UCS C240 M8 with NVIDIA L40 GPU
                                  Reveal Solution  Discussion  0

                                  Correct Answer: A  🗳️

                                  Explanation: Only visible for ExamsReviews members. You can sign-up / login (it's free).

                                  Question #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. spanning tree topology change notifications
                                  • B. VXLAN tunnel packet encapsulation rate
                                  • C. PFC pause frame transmission rate per interface
                                  • D. BGP EVPN route count per leaf switch
                                  Reveal Solution  Discussion  0

                                  Correct Answer: C  🗳️

                                  Explanation: Only visible for ExamsReviews members. You can sign-up / login (it's free).

                                  Question #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. NCCL
                                  • B. iPerf
                                  • C. IXIA
                                  • D. Spirent
                                  Reveal Solution  Discussion  0

                                  Correct Answer: A  🗳️

                                  Explanation: Only visible for ExamsReviews members. You can sign-up / login (it's free).

                                  Question #4

                                  A customer uses Cisco AI Products within Intersight and observes packet drops for RoCEv2 traffic. Which System QoS policy configuration must be deployed to ensure that RoCEv2 traffic is classified as lossless?

                                  • A. Enable all QoS system classes.
                                  • B. Disable Platinum system class.
                                  • C. Disable Gold system class.
                                  • D. Enable Platinum class and uncheck Allow Packet Drops.
                                  Reveal Solution  Discussion  0

                                  Correct Answer: D  🗳️

                                  Explanation: Only visible for ExamsReviews members. You can sign-up / login (it's free).

                                  Question #5

                                  A company implements multicast traffic optimization for distributed AI training nodes. Which protocol enables efficient multicast receiver discovery in IPv4 networks?

                                  • A. IGMP
                                  • B. ARP
                                  • C. LLDP
                                  • D. CDP
                                  Reveal Solution  Discussion  0

                                  Correct Answer: A  🗳️

                                  Explanation: Only visible for ExamsReviews members. You can sign-up / login (it's free).

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