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Cisco 300-640 Exam Syllabus Topics:

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

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q29-Q34):

NEW QUESTION # 29
A network administrator configures RDMA over Converged Ethernet version 2 (RoCEv2). Which transport protocol does RoCEv2 use at Layer 4?

Answer: C

Explanation:
RoCEv2 encapsulates RDMA traffic over UDP/IP, enabling routable RDMA communication across Layer 3 networks. TCP introduces retransmission and latency overhead unsuitable for high-performance GPU communication. SCTP and ICMP are not used for RoCEv2 transport.


NEW QUESTION # 30
An engineer notices excessive broadcast traffic inside a legacy AI server VLAN. Which technology should be implemented to reduce flooding and improve scalability?

Answer: A

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 RIP is outdated for large- scale fabrics, while PAT and GRE tunneling do not address broadcast domain limitations.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 # 31
What does workload distribution offer in an AI infrastructure with local and external resources?

Answer: D

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 # 32
Which type of Cisco Intersight profile, when deployed to fabric interconnects, includes the configuration settings for ports, VLANs, and VSANs?

Answer: A

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 # 33
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 current compute environment must co-exist with the newly purposed GPU-enabled workload. This environment will continue to grow, so the customer wants to scale out the resources as needed. Which Cisco product meets the requirements?

Answer: A

Explanation:
Cisco UCS X-Series is designed for scalable, modular compute environments that support GPU- enabled workloads, high memory capacity, virtualization, and coexistence with existing infrastructure. Its modular architecture allows the enterprise to expand resources as AI workload demands grow.


NEW QUESTION # 34
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