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Cisco 300-640 Exam Syllabus Topics:

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

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q71-Q76):

NEW QUESTION # 71
What is a purpose of Cisco AI PODs?

Answer: A

Explanation:
Cisco AI PODs are designed as integrated, validated full-stack infrastructure solutions that combine compute, networking, storage, and management capabilities to support AI training, fine- tuning, and inferencing workloads with faster deployment and operational consistency.


NEW QUESTION # 72
An engineer configures Cisco Nexus Dashboard Fabric Controller for AI infrastructure automation. The company wants centralized policy management and simplified fabric provisioning across multiple pods. Which capability provides this benefit?

Answer: D

Explanation:
Intent-based fabric automation simplifies deployment and policy consistency across large AI infrastructures. Nexus Dashboard Fabric Controller automates provisioning, validation, and operational management. Distributed ACLs and local VLAN switching are operational features but do not centralize orchestration. Manual CLI verification is error-prone and unsuitable for rapidly scaling AI environments.


NEW QUESTION # 73
Which result is provided through image recognition using AI?

Answer: A

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 # 74
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: D


NEW QUESTION # 75
A network operations team deploys HyperFabric AI and wants to monitor fabric health to proactively identify performance issues. The team must track metrics specifically relevant to AI training workloads. Which metric is most critical for identifying congestion issues that could impact AI training performance in a HyperFabric AI deployment?

Answer: C

Explanation:
PFC pause frame transmission rate is the key congestion indicator for lossless Ethernet fabrics used by AI training workloads. A high or increasing pause frame rate shows that interfaces are experiencing congestion and applying flow control, which can directly affect GPU-to-GPU communication performance in a HyperFabric AI environment.


NEW QUESTION # 76
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