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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
      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
              Security and Governance in AI Data Centers- Infrastructure security
              • 1. Network segmentation and policy enforcement
                • 2. Secure access to AI workloads
                  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. Leaf-spine architecture in AI environments
                        • 2. Low-latency switching and routing considerations
                          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

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q70-Q75):

                                  NEW QUESTION # 70
                                  A server administrator must monitor the performance and utilization of GPUs in Cisco UCS servers running AI workloads. Which two metrics must be used in Cisco Intersight to accomplish these goals? (Choose two.)

                                  Answer: A,C

                                  Explanation:
                                  Cisco Intersight provides GPU-focused telemetry for UCS servers, including utilization and performance metrics. These measurements allow the administrator to monitor how heavily the GPUs are being used and whether the AI workload is receiving the expected GPU performance.


                                  NEW QUESTION # 71
                                  Drag and Drop Question
                                  A network engineer is designing congestion management for an AI cluster using RoCEv2 transport. Based on Cisco best practices, the engineer must understand how ECN and PFC work together to provide lossless Ethernet transport. Drag and drop the congestion management mechanisms from the left onto the corresponding descriptions on the right. Not all options are used.

                                  Answer:

                                  Explanation:


                                  NEW QUESTION # 72
                                  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?

                                  Answer: C

                                  Explanation:
                                  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.


                                  NEW QUESTION # 73
                                  An engineer made changes to the corporate DNS, which caused a Cisco UCS X-Series domain to lose connectivity to Intersight. To restore connectivity, the management interface DNS and NTP settings must be updated using the device console UI. Which configuration change must be made in Intersight to allow the updated DNS configuration to persist?

                                  Answer: B

                                  Explanation:
                                  In Cisco Intersight Managed Mode, the fabric interconnect management DNS and NTP settings are controlled through the UCS domain profile. If the settings are changed locally from the device console UI, the deployed domain profile must also be updated in Intersight so the corrected configuration is not overwritten during the next policy deployment or compliance remediation.


                                  NEW QUESTION # 74
                                  An Intersight administrator plans to deploy new server solutions to several small branch offices across the country. Each location needs at least one chassis. The servers must have redundant CPUs, memory, and 200 Gbps of unified fabric connectivity per compute node. Which hybrid AI compute solution meets the requirements?

                                  Answer: A

                                  Explanation:
                                  Cisco UCS X-Direct is designed for smaller distributed or branch deployments that still need chassis-based UCS X-Series compute capabilities. It supports redundant compute resources and high-speed unified fabric connectivity, including 200 Gbps per compute node, making it the best fit for hybrid AI workloads across multiple branch office locations.


                                  NEW QUESTION # 75
                                  ......

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