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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
  • 1. Data pipeline and workload characteristics
    • 2. Compute, GPU, and acceleration concepts
      Topic 2: Security and Governance in AI Data Centers- Infrastructure security
      • 1. Network segmentation and policy enforcement
        • 2. Secure access to AI workloads
          Topic 3: AI Infrastructure Deployment and Operations- Operations and lifecycle management
          • 1. Performance tuning and optimization
            • 2. Monitoring and observability
              - Deployment models
              • 1. Hybrid AI infrastructure integration
                • 2. On-premises AI clusters
                  Topic 4: 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 ACI integration concepts
                        • 2. Cisco Nexus platform concepts
                          Topic 5: Compute and Storage for AI Infrastructure- Storage systems
                          • 1. Distributed storage concepts
                            • 2. High-throughput storage for AI training data
                              - Compute architecture
                              • 1. GPU-based compute nodes
                                • 2. HPC-style scaling considerations

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                                  New 300-640 Test Dumps | 300-640 Exam Pattern

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q13-Q18):

                                  NEW QUESTION # 13
                                  A Cisco Nexus switch experiences head-of-line blocking in an RDMA environment. Which mechanism is most effective in reducing this condition?

                                  Answer: A

                                  Explanation:
                                  Virtual output queuing (VOQ) prevents packets destined for congested outputs from blocking unrelated traffic flows. This is valuable in AI infrastructures where high-bandwidth GPU traffic can overwhelm buffers. WRED manages congestion probabilistically but does not eliminate head-of- line blocking. PortFast and NAT overload are unrelated features.


                                  NEW QUESTION # 14
                                  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?

                                  Answer: B

                                  Explanation:
                                  Priority Flow Control (PFC) allows selective pausing of traffic classes during congestion, which is critical for RoCEv2 environments carrying GPU-to-GPU communication. AI workloads are highly sensitive to packet loss and retransmissions. BPDU Guard and DHCP Snooping are security features, while Storm Control only limits broadcast or multicast traffic and does not create lossless behavior for RDMA traffic.


                                  NEW QUESTION # 15
                                  A nationwide grocery chain has deployed Unified Edge to all its locations. Each store has 10 or more surveillance cameras that write approximately 1 Gb per hour. The surveillance retention policy requires maintaining 2 weeks of recording per camera. Which type of cost-effective centralized storage solution must be evaluated with Unified Edge devices to adhere to this policy?

                                  Answer: C

                                  Explanation:
                                  Unified Edge deployments that need centralized, cost-effective retention for large surveillance data volumes should evaluate IP-based shared storage. It provides scalable network-accessible capacity for multiple edge devices without requiring specialized Fibre Channel or InfiniBand infrastructure, making it appropriate for distributed video retention workloads.


                                  NEW QUESTION # 16
                                  An end customer plans to deploy an AI fabric in a new data center. Their engineers are more familiar with CLI-based networks and require the capability to automate standardized configuration templates and monitor flows for the fabric. Which data center automation tool meets the requirements?

                                  Answer: D

                                  Explanation:
                                  Nexus Dashboard is the Cisco data center automation and operations platform used with Nexus fabrics. It supports standardized fabric configuration through automation templates and provides visibility features such as flow monitoring, making it the appropriate tool for engineers who need CLI-oriented data center fabric operations with automation and telemetry.


                                  NEW QUESTION # 17
                                  A company deploys a Cisco UCS environment to host AI inferencing workloads that demand low latency, high throughput, and efficient resource utilization. Which set of actions must be taken to deploy a high-performance fabric within the Cisco UCS infrastructure?

                                  Answer: D

                                  Explanation:
                                  A dual-fabric design with redundant Cisco Fabric Interconnects provides high availability, bandwidth scale, and resilient server-to-fabric connectivity. Using 100 Gb Ethernet and port- channel uplinks supports the low-latency, high-throughput fabric required for AI inferencing workloads while improving utilization and avoiding single points of failure.


                                  NEW QUESTION # 18
                                  ......

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