2026 Exam 300-640 Experience - Cisco Implementing Cisco Data Center AI Infrastructure - Valid 300-640 Verified Answers

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Cisco 300-640 Exam Syllabus Topics:

SectionWeightObjectives
AI Infrastructure Components and Architecture30%- Evaluate power, cooling, and efficiency requirements
- Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability
- Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS
- Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures
- Evaluate hybrid and multi-cloud AI integration
AI Infrastructure Operations and Troubleshooting20%- Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts
- Implement performance benchmarking and validation
- Optimize performance, security, and reliability
- Troubleshoot network, compute, storage, and orchestration issues
- Manage health, logs, and events
AI Infrastructure Fundamentals20%- Describe AI use cases in data center environments
- Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring
- Describe types of AI infrastructure: on-premises, cloud, hybrid, edge
- Describe AI and machine learning concepts
- Explain Cisco AI infrastructure solutions and portfolio
AI Infrastructure Deployment and Data Management30%- Implement data management and lifecycle for AI workloads
- Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics
- Deploy and manage AI infrastructure with orchestration tools
- Configure compute and storage using Cisco UCS: profiles, policies, Intersight
- Integrate AI frameworks and applications with Cisco infrastructure

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q62-Q67):

NEW QUESTION # 62
A company implements multicast traffic optimization for distributed AI training nodes. Which protocol enables efficient multicast receiver discovery in IPv4 networks?

Answer: B

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 # 63
What does workload distribution offer in an AI infrastructure with local and external resources?

Answer: B

Explanation:
Workload distribution in AI infrastructure enables computational tasks to be spread across local and external resources, improving scalability, resource utilization, and execution flexibility across multiple processing locations.


NEW QUESTION # 64
A medical company has existing third-party AI servers and NVMe storage, but they want to purchase Cisco network switches with a cloud managed feature for simplicity. Which solution best meets the requirements?

Answer: B

Explanation:
Bring Your Own AI HyperFabric is the best fit when the customer already has third-party AI servers and NVMe storage but wants Cisco 6000 Series switching with simplified cloud-managed fabric operations. The Premier license aligns with the AI-focused HyperFabric use case, while Cisco describes Nexus HyperFabric as a cloud-managed AI infrastructure solution using Cisco
6000 Series switches for AI workloads.


NEW QUESTION # 65
A network team is configuring quality of service (QoS) for RoCEv2 traffic on a VXLAN fabric. The team must ensure that congestion notification packets (CNP) generated by storage targets are never dropped in the network, as these packets are critical for congestion control feedback. How must CNP packets be handled in the QoS configuration to ensure reliable delivery?

Answer: C

Explanation:
CNP packets provide congestion feedback for RoCEv2 traffic and must be delivered reliably so senders can reduce their transmission rate when congestion is detected. Classifying CNP packets into a high-priority queue based on their DSCP marking ensures that these control packets receive preferential treatment and are not dropped during congestion.


NEW QUESTION # 66
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 # 67
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