2026 Reliable 300-640 Exam Test | Latest Implementing Cisco Data Center AI Infrastructure 100% Free Vce Test Simulator

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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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
          Topic 2: Compute and Storage for AI Infrastructure- Storage systems
          • 1. High-throughput storage for AI training data
            • 2. Distributed storage concepts
              - Compute architecture
              • 1. HPC-style scaling considerations
                • 2. GPU-based compute nodes
                  Topic 3: Security and Governance in AI Data Centers- Infrastructure security
                  • 1. Secure access to AI workloads
                    • 2. Network segmentation and policy enforcement
                      Topic 4: Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
                      • 1. Data pipeline and workload characteristics
                        • 2. Compute, GPU, and acceleration concepts
                          Topic 5: 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

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q48-Q53):

                                  NEW QUESTION # 48
                                  During validation testing, an engineer observes microbursts causing packet drops on GPU uplinks. Which monitoring capability best detects short-duration congestion events?

                                  Answer: C

                                  Explanation:
                                  Microbursts occur within milliseconds and are often missed by traditional monitoring methods.
                                  High-frequency streaming telemetry provides granular visibility into queue depth, drops, and latency conditions in real time. Hourly exports and infrequent manual inspection cannot reliably detect transient AI fabric congestion events.


                                  NEW QUESTION # 49
                                  What is a primary behavior that occurs during the model training stage of the AI lifecycle?

                                  Answer: A

                                  Explanation:
                                  During model training, the model learns from training data by iteratively adjusting its internal weights and biases to reduce prediction error and improve performance against the defined objective function.


                                  NEW QUESTION # 50
                                  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?

                                  Answer: C

                                  Explanation:
                                  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.


                                  NEW QUESTION # 51
                                  To support growing AI workload requirements, a regional medical practice is adding new X9516 X-Fabric module, UCS PCI Mezz cards, and UCS X580p PCIe nodes to their existing X-Series chassis. Which two administrative actions must be taken before the X-Fabric module is added to the chassis? (Choose two.)

                                  Answer: B,D

                                  Explanation:
                                  Before adding the X9516 X-Fabric module, the affected X-Series blades must be powered down because the X-Fabric connectivity path requires hardware installation and cannot be safely introduced while the connected compute nodes are running. The UCS PCI Mezzanine cards must also be installed in the blades so they can physically connect through the X-Fabric module to the X580p PCIe nodes for GPU expansion.


                                  NEW QUESTION # 52
                                  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?

                                  Answer: D

                                  Explanation:
                                  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.


                                  NEW QUESTION # 53
                                  ......

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