HOT 300-640 Reliable Braindumps Pdf: Implementing Cisco Data Center AI Infrastructure - The Best Cisco 300-640 New Test Bootcamp

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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Compute and Storage for AI Infrastructure- Storage systems
  • 1. Distributed storage concepts
    • 2. High-throughput storage for AI training data
      - Compute architecture
      • 1. HPC-style scaling considerations
        • 2. GPU-based compute nodes
          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
                  Security and Governance in AI Data Centers- Infrastructure security
                  • 1. Secure access to AI workloads
                    • 2. Network segmentation and policy enforcement
                      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 AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
                              • 1. Compute, GPU, and acceleration concepts
                                • 2. Data pipeline and workload characteristics

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q61-Q66):

                                  NEW QUESTION # 61
                                  An administrator configures VXLAN EVPN in a Cisco AI data center fabric. The requirement is to provide Layer 2 adjacency across multiple leaf switches while maintaining scalable control-plane learning. Which protocol fulfills this function?

                                  Answer: D

                                  Explanation:
                                  BGP EVPN provides scalable control-plane MAC and IP route advertisement for VXLAN fabrics.
                                  It eliminates excessive flooding associated with traditional Layer 2 networks and supports efficient multi-tenant AI infrastructures. STP only prevents loops, OSPF is a Layer 3 routing protocol, and HSRP provides gateway redundancy rather than overlay endpoint learning.


                                  NEW QUESTION # 62
                                  A Cisco AI environment requires synchronized packet processing timestamps across network devices for analytics accuracy. Which protocol should be deployed?

                                  Answer: A

                                  Explanation:
                                  Precision Time Protocol (PTP) provides highly accurate clock synchronization required for latency-sensitive AI and analytics environments. NTP offers lower precision suitable for general IT systems. FTP and DNS are unrelated to time synchronization.


                                  NEW QUESTION # 63
                                  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?

                                  Answer: C

                                  Explanation:
                                  Cisco HyperFabric AI Small AI Cluster matches the 96-GPU requirement because the validated HyperFabric reference architecture uses 12 Cisco UCS C885A M8 servers with NVIDIA HGX for a total of 96 GPUs. Cisco Nexus HyperFabric is also cloud-managed and compliant with NVIDIA Enterprise Reference Architecture, enabling centralized management of the on-premises AI network, GPU servers, and storage.


                                  NEW QUESTION # 64
                                  A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are:
                                  - high availability of the chassis management plane.
                                  - support for up to 768 GB of memory for in-memory model storage and
                                  processing
                                  - remote server launch requiring no on-site IT staff
                                  - use of Cisco Intersight for SaaS-based infrastructure lifecycle
                                  management
                                  Which solution meets the requirements?

                                  Answer: B

                                  Explanation:
                                  Cisco Unified Edge is designed for distributed branch and edge AI deployments that need simplified remote operations through Cisco Intersight. It supports branch-friendly installation, SaaS-based lifecycle management, high-availability chassis management, up to 768 GB of memory, and balanced compute resources for inference workloads that may require GPU acceleration.


                                  NEW QUESTION # 65
                                  A Cisco AI cluster requires segmentation between multiple research teams sharing the same physical infrastructure. Which solution provides scalable tenant isolation?

                                  Answer: A

                                  Explanation:
                                  VXLAN overlays provide scalable multi-tenant segmentation using large VNI spaces beyond traditional VLAN limitations. AI infrastructures often support many isolated environments simultaneously. VLAN-only designs have scalability constraints, while WAN topologies and NAT do not provide modern data center tenant segmentation.


                                  NEW QUESTION # 66
                                  ......

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