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Cisco 300-640 Exam Syllabus Topics:

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

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q61-Q66):

NEW QUESTION # 61
What is a function of NVLink technology within a high-performance AI server or cluster?

Answer: B

Explanation:
NVLink provides a high-bandwidth, low-latency direct interconnect between GPUs. In AI servers and clusters, it accelerates GPU-to-GPU communication for training and inference workloads by allowing GPUs to exchange data much faster than through standard PCIe paths.


NEW QUESTION # 62
A customer deploys a UCS 885a server in a data center with two power grids. Three of the
3000W power supplies in the server connect to each grid. Due to an external event, one of the grids will be shut down for maintenance. How does the server respond to this event?

Answer: D

Explanation:
With three 3000W power supplies lost from one power grid, the UCS C885A continues operating on the remaining grid but no longer has the full power budget available for maximum GPU operation. The server reduces performance by enforcing power limits, including capping GPU power, so workloads can continue running within the available power capacity.


NEW QUESTION # 63
Which network design approach should be used to build a high-performance, nonblocking AI/ML data center fabric that supports 64 fully equipped UCS C885A nodes and provides the lowest possible latency and lossless Ethernet?

Answer: C

Explanation:
A rail-optimized design is used for large AI/ML clusters because it aligns GPU-to-GPU communication paths across the fabric, minimizes latency, and supports high-throughput lossless Ethernet for distributed training workloads.


NEW QUESTION # 64
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,C

Explanation:
Cisco Intersight performance monitoring uses resource utilization metrics to identify bottlenecks in AI workloads. Active CPU utilization shows whether host processing is limiting workload execution, while GPU memory utilization shows how effectively GPU memory is being consumed during model processing and training or inference tasks.


NEW QUESTION # 65
Which result is provided through image recognition using AI?

Answer: D

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 # 66
......

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