100% Pass Quiz 2026 Cisco 300-640: Implementing Cisco Data Center AI Infrastructure Useful Real Questions

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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
AI Infrastructure Deployment and Operations- Operations and lifecycle management
  • 1. Performance tuning and optimization
    • 2. Monitoring and observability
      - Deployment models
      • 1. Hybrid AI infrastructure integration
        • 2. On-premises AI clusters
          Security and Governance in AI Data Centers- Infrastructure security
          • 1. Secure access to AI workloads
            • 2. Network segmentation and policy enforcement
              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
                      Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
                      • 1. Compute, GPU, and acceleration concepts
                        • 2. Data pipeline and workload characteristics
                          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 (Q21-Q26):

                                  NEW QUESTION # 21
                                  How does RAG enhance the capabilities of LLMs?

                                  Answer: D

                                  Explanation:
                                  RAG enhances LLMs by retrieving relevant external or proprietary information at generation time and using that context to produce more accurate, current, and domain-specific responses without changing the model's core parameters.


                                  NEW QUESTION # 22
                                  An engineer notices excessive broadcast traffic inside a legacy AI server VLAN. Which technology should be implemented to reduce flooding and improve scalability?

                                  Answer: D

                                  Explanation:
                                  VXLAN EVPN reduces unknown unicast and broadcast flooding by using control-plane learning with BGP EVPN. This improves scalability in modern AI data centers. RIP is outdated for large- scale fabrics, while PAT and GRE tunneling do not address broadcast domain limitations.


                                  NEW QUESTION # 23
                                  A Cisco AI environment requires synchronized packet processing timestamps across network devices for analytics accuracy. Which protocol should be deployed?

                                  Answer: B

                                  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 # 24
                                  An engineer configures quality of service in the Cisco ACI fabric to connect VAST storage servers. Which combination of attributes must be selected?

                                  Answer: C

                                  Explanation:
                                  VAST storage integration in a Cisco ACI fabric requires QoS settings that support lossless, congestion-aware Ethernet behavior. Weighted Random Early Detection with congestion notification enabled allows the fabric to signal congestion early through ECN before buffer exhaustion occurs, helping maintain predictable performance for high-throughput storage traffic.


                                  NEW QUESTION # 25
                                  A Cisco AI infrastructure requires fast convergence after a spine switch failure. Which routing design principle best supports this objective?

                                  Answer: B

                                  Explanation:
                                  ECMP provides multiple active forwarding paths and enables rapid failover when a path becomes unavailable. AI environments benefit from resilient high-bandwidth forwarding. Static redistribution slows operational flexibility, while single-path forwarding and Layer 2 dependency reduce scalability and convergence efficiency.


                                  NEW QUESTION # 26
                                  ......

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