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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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
          Topic 2: Security and Governance in AI Data Centers- Infrastructure security
          • 1. Secure access to AI workloads
            • 2. Network segmentation and policy enforcement
              Topic 3: AI Infrastructure Deployment and Operations- Operations and lifecycle management
              • 1. Monitoring and observability
                • 2. Performance tuning and optimization
                  - Deployment models
                  • 1. Hybrid AI infrastructure integration
                    • 2. On-premises AI clusters
                      Topic 4: Data Center Networking for AI Workloads- Cisco Data Center networking technologies
                      • 1. Cisco ACI integration concepts
                        • 2. Cisco Nexus platform concepts
                          - High-performance fabric design
                          • 1. Low-latency switching and routing considerations
                            • 2. Leaf-spine architecture in AI environments
                              Topic 5: Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
                              • 1. Data pipeline and workload characteristics
                                • 2. Compute, GPU, and acceleration concepts

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                                  300-640 Studienmaterialien: Implementing Cisco Data Center AI Infrastructure & 300-640 Zertifizierungstraining

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                                  Cisco Implementing Cisco Data Center AI Infrastructure 300-640 Prüfungsfragen mit Lösungen (Q38-Q43):

                                  38. Frage
                                  A data center team enables jumbo frames in a Cisco AI cluster. What is the primary benefit of increasing the MTU for east-west GPU traffic?

                                  Antwort: C

                                  Begründung:
                                  Jumbo frames reduce the number of packets needed to transmit large AI datasets, decreasing CPU interrupts and protocol overhead. This improves throughput and efficiency for GPU communication. Larger MTUs do not directly affect convergence or eliminate buffering, and they typically reduce rather than increase processing overhead.


                                  39. Frage
                                  A data center is deploying an AI infrastructure for LLM training and model inference. This infrastructure requires high GPU density, low-latency interconnects, and the ability to scale compute resources. When considering the Cisco UCS C885A M8 Rack Server for the deployment, which design aspect is the most critical for achieving optimal performance and scalability in this environment?

                                  Antwort: A

                                  Begründung:
                                  For UCS C885A M8 servers running LLM training and inference workloads, the surrounding Nexus fabric design is critical because GPU-dense systems depend on low-latency, high- bandwidth, lossless network connectivity for scale-out performance. Selecting and configuring the correct Nexus fabric minimizes communication delays between compute nodes and enables the AI infrastructure to scale efficiently.


                                  40. Frage
                                  A solutions architect must implement a monitoring strategy for a new AI/ML data center infrastructure built on Cisco UCS X-Series servers with NVIDIA H100 GPUs, managed by Cisco Intersight. The main objectives are to gain deep visibility into GPU performance, identify resource bottlenecks for AI training workloads, and ensure the overall health and efficiency of the compute environment. Which Cisco Intersight capability is most critical for effectively monitoring this AI- centric infrastructure?

                                  Antwort: C

                                  Begründung:
                                  Cisco Intersight provides health and performance monitoring for UCS servers, including real-time telemetry and GPU-specific metrics for NVIDIA GPUs. This visibility is essential for identifying bottlenecks, tracking AI training workload behavior, and maintaining the health and efficiency of GPU-accelerated UCS X-Series infrastructure.


                                  41. Frage
                                  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?

                                  Antwort: B

                                  Begründung:
                                  Cisco UCS C885A M8 with NVIDIA H200 GPUs is designed for high-performance AI workloads that require dense GPU acceleration, large memory capacity, and direct GPU-to-GPU communication through NVIDIA NVLink. This combination supports demanding analytics, training, and inference workloads where high-bandwidth GPU interconnect is required.


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

                                  Antwort: D

                                  Begründung:
                                  Internet Group Management Protocol (IGMP) allows hosts to join and leave multicast groups dynamically. This improves multicast efficiency for distributed AI workloads. ARP resolves MAC addresses, while LLDP and CDP are neighbor discovery protocols that do not manage multicast memberships.


                                  43. Frage
                                  ......

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