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Cisco 300-640 Exam Syllabus Topics:

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

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q63-Q68):

NEW QUESTION # 63
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 # 64
An administrator configures VXLAN EVPN in a Cisco AI data center fabric. The requirement is to provide Layer 2 adjacency across multiple leaf switches while maintaining scalable control-plane learning. Which protocol fulfills this function?

Answer: C


NEW QUESTION # 65
An Intersight administrator plans to deploy new server solutions to several small branch offices across the country. Each location needs at least one chassis. The servers must have redundant CPUs, memory, and 200 Gbps of unified fabric connectivity per compute node. Which hybrid AI compute solution meets the requirements?

Answer: B

Explanation:
Cisco UCS X-Direct is designed for smaller distributed or branch deployments that still need chassis-based UCS X-Series compute capabilities. It supports redundant compute resources and high-speed unified fabric connectivity, including 200 Gbps per compute node, making it the best fit for hybrid AI workloads across multiple branch office locations.


NEW QUESTION # 66
Which result is provided through image recognition using AI?

Answer: C

Explanation:
Image recognition uses AI to analyze digital images or video frames and identify, detect, classify, or label visual elements such as objects, people, patterns, or scenes.


NEW QUESTION # 67
A server administrator must monitor the performance and utilization of GPUs in Cisco UCS servers running AI workloads. Which two metrics must be used in Cisco Intersight to accomplish these goals? (Choose two.)

Answer: B,D

Explanation:
Cisco Intersight provides GPU-focused telemetry for UCS servers, including utilization and performance metrics. These measurements allow the administrator to monitor how heavily the GPUs are being used and whether the AI workload is receiving the expected GPU performance.


NEW QUESTION # 68
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