Free PDF 300-640 - Trustable New Implementing Cisco Data Center AI Infrastructure Practice Materials

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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Topic 1: AI Infrastructure Deployment and Operations- Deployment models
  • 1. Hybrid AI infrastructure integration
    • 2. On-premises AI clusters
      - Operations and lifecycle management
      • 1. Monitoring and observability
        • 2. Performance tuning and optimization
          Topic 2: 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 3: Security and Governance in AI Data Centers- Infrastructure security
                  • 1. Network segmentation and policy enforcement
                    • 2. Secure access to AI workloads
                      Topic 4: Data Center Networking for AI Workloads- Cisco Data Center networking technologies
                      • 1. Cisco Nexus platform concepts
                        • 2. Cisco ACI integration 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. Compute, GPU, and acceleration concepts
                                • 2. Data pipeline and workload characteristics

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q47-Q52):

                                  NEW QUESTION # 47
                                  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?

                                  Answer: A

                                  Explanation:
                                  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.


                                  NEW QUESTION # 48
                                  A company implements multicast traffic optimization for distributed AI training nodes. Which protocol enables efficient multicast receiver discovery in IPv4 networks?

                                  Answer: C

                                  Explanation:
                                  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.


                                  NEW QUESTION # 49
                                  Which set of statements describes Quantized Congestion Notification?

                                  Answer: D

                                  Explanation:
                                  Quantized Congestion Notification relies on Explicit Congestion Notification as the primary congestion signal so the sender can reduce its transmission rate before packet loss occurs.
                                  Priority Flow Control acts as a safety mechanism if congestion becomes severe, and the congestion notification packet is generated by the receiving host when it receives packets marked with congestion-experienced bits.


                                  NEW QUESTION # 50
                                  A network architect designs connectivity for a new Cisco AI POD operating in Intersight Managed Mode. To ensure high availability and aggregate bandwidth for external network traffic, a port channel must be established using multiple 100 GbE uplink ports on the fabric interconnects to connect to the upstream core switch infrastructure. Which specific policy, applied through the domain profile, must be modified to define and configure this port channel on the fabric interconnects for the desired uplink connectivity?

                                  Answer: B

                                  Explanation:
                                  In Cisco Intersight Managed Mode, fabric interconnect port roles and uplink port channels are defined in the port policy associated with the UCS domain profile. Modifying the port policy allows the engineer to configure multiple 100 GbE uplink ports as a port channel for aggregated bandwidth and high availability toward the upstream network.


                                  NEW QUESTION # 51
                                  Which components are part of the HyperFabric AI solution?

                                  Answer: D

                                  Explanation:
                                  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.


                                  NEW QUESTION # 52
                                  ......

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