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Cisco 300-640 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Cisco AI Infrastructure Architecture30%- Cisco UCS AI Infrastructure Solutions
- Network Architecture for AI Workloads
- Storage Architecture Considerations
- Hyperconverged Infrastructure for AI
Topic 2: AI Infrastructure Fundamentals15%- GPU Architecture and Types
- AI Ecosystem Components
- AI Workload Characteristics
- AI Infrastructure Requirements
Topic 3: AI Infrastructure Operations20%- Monitoring and Management Tools
- Performance Optimization
- Capacity Planning
- Troubleshooting Common Issues
Topic 4: AI Infrastructure Deployment25%- GPU Server Configuration
- Network Switch Configuration
- Storage Configuration for AI
- Hardware Installation and Configuration
- Cabling and Connectivity
Topic 5: AI Infrastructure Security and Compliance10%- Security Best Practices
- Access Control and Authentication
- Compliance Considerations

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

NEW QUESTION # 70
A network engineer must secure management access to Cisco Nexus AI switches. Which protocol should replace Telnet to provide encrypted administrative sessions?

Answer: D

Explanation:
SSH provides encrypted remote management sessions and protects credentials and configuration traffic from interception. Telnet transmits data in plaintext and is unsuitable for secure AI data center environments. FTP and TFTP are file transfer protocols, while SNMPv1 lacks modern security protections.


NEW QUESTION # 71
A network architect wants to provide high availability for AI compute nodes connected to dual Cisco Nexus switches. Which technology enables active-active uplink forwarding without STP blocking?

Answer: A

Explanation:
Virtual Port Channel (vPC) allows devices to use active-active uplinks across two Nexus switches while avoiding spanning-tree blocking. This increases bandwidth utilization and resiliency for AI clusters. GLBP and VRRP provide gateway redundancy, while PVST+ still relies on blocking redundant paths.


NEW QUESTION # 72
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: B

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 # 73
Which type of Cisco Intersight profile, when deployed to fabric interconnects, includes the configuration settings for ports, VLANs, and VSANs?

Answer: C

Explanation:
A UCS Domain profile is deployed to fabric interconnects in Cisco Intersight Managed Mode and contains the domain-level configuration, including port policies, VLANs, VSANs, network connectivity, and other fabric interconnect settings.


NEW QUESTION # 74
An organization deploys Cisco Nexus switches supporting RoCEv2 traffic. Which QoS behavior is most critical to maintain reliable GPU communication?

Answer: D

Explanation:
RoCEv2 depends on low-latency and near-lossless Ethernet transport to maintain efficient RDMA communication. Packet drops trigger retransmissions and significantly degrade AI training performance. Best-effort forwarding cannot guarantee delivery quality, while fragmentation and randomized path selection do not address the primary RDMA requirement.


NEW QUESTION # 75
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