最新の更新Cisco 300-640試験復習赤本は主要材料 &人気のある300-640: Implementing Cisco Data Center AI Infrastructure

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Cisco 300-640 Exam Syllabus Topics:

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

                                  >> 300-640試験復習赤本 <<

                                  効果的-完璧な300-640試験復習赤本試験-試験の準備方法300-640日本語学習内容

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                                  Cisco Implementing Cisco Data Center AI Infrastructure 認定 300-640 試験問題 (Q15-Q20):

                                  質問 # 15
                                  Which components are part of the HyperFabric AI solution?

                                  正解：B

                                  解説：
                                  HyperFabric AI combines Cisco UCS servers with NVIDIA GPUs, Cisco Nexus 6000 Series switches, optional VAST Data storage, and cloud-managed networking to provide an integrated AI infrastructure solution for training and inference workloads.


                                  質問 # 16
                                  An engineer deploys an AI fabric on Cisco Nexus 9000 Series Switches connected to Cisco UCS nodes with NVIDIA GPUs. The requirements call for optimal network performance for training workloads. Adaptive routing is enabled on the NICs, and per-packet load balancing is enabled on the switches. Which other configuration must be implemented for this integration to be fully operational?

                                  正解：C

                                  解説：
                                  The NIC must be explicitly configured with the Cisco dynamic load-balancing setting so it recognizes that the connected Cisco Nexus fabric supports adaptive routing. This completes the integration between NIC-side adaptive routing and switch-side per-packet load balancing for optimized AI training traffic.


                                  質問 # 17
                                  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?

                                  正解：C

                                  解説：
                                  Bring Your Own AI HyperFabric is the best fit when the customer already has third-party AI servers and NVMe storage but wants Cisco 6000 Series switching with simplified cloud-managed fabric operations. The Premier license aligns with the AI-focused HyperFabric use case, while Cisco describes Nexus HyperFabric as a cloud-managed AI infrastructure solution using Cisco
                                  6000 Series switches for AI workloads.


                                  質問 # 18
                                  Which result is provided through image recognition using AI?

                                  正解：D

                                  解説：
                                  Image recognition uses AI to analyze digital images or video frames and identify, detect, classify, or label visual elements such as objects, people, patterns, or scenes.


                                  質問 # 19
                                  An engineer configures Cisco Nexus Dashboard Fabric Controller for AI infrastructure automation. The company wants centralized policy management and simplified fabric provisioning across multiple pods. Which capability provides this benefit?

                                  正解：A

                                  解説：
                                  Intent-based fabric automation simplifies deployment and policy consistency across large AI infrastructures. Nexus Dashboard Fabric Controller automates provisioning, validation, and operational management. Distributed ACLs and local VLAN switching are operational features but do not centralize orchestration. Manual CLI verification is error-prone and unsuitable for rapidly scaling AI environments.


                                  質問 # 20
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