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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Infrastructure Fundamentals | 15% | - AI Workload Characteristics - AI Ecosystem Components - GPU Architecture and Types - AI Infrastructure Requirements |
| Topic 2: AI Infrastructure Security and Compliance | 10% | - Security Best Practices - Access Control and Authentication - Compliance Considerations |
| Topic 3: AI Infrastructure Operations | 20% | - Monitoring and Management Tools - Performance Optimization - Troubleshooting Common Issues - Capacity Planning |
| Topic 4: AI Infrastructure Deployment | 25% | - Hardware Installation and Configuration - Network Switch Configuration - GPU Server Configuration - Cabling and Connectivity - Storage Configuration for AI |
| Topic 5: Cisco AI Infrastructure Architecture | 30% | - Cisco UCS AI Infrastructure Solutions - Network Architecture for AI Workloads - Storage Architecture Considerations - Hyperconverged Infrastructure for AI |
1. A Cisco UCS C885A M8 server contains a GPU sled configured with six power supply units (PSUs) in an N+2 redundancy configuration. The workload on the GPU sled is currently drawing a load of 4500W. Using Power Save Mode, how many PSUs can be placed into standby mode to improve power efficiency without compromising redundancy?
A) 3
B) 2
C) 0
D) 1
2. What does workload distribution offer in an AI infrastructure with local and external resources?
A) distribution of computational tasks across multiple locations
B) enforcement of fixed security policies on distribution endpoints
C) isolation of analytic functions within remote processing clusters
D) restriction of automation to local storage and performance measures
3. 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?
A) STP
B) OSPF
C) HSRP
D) BGP EVPN
4. What is a function of NVLink technology within a high-performance AI server or cluster?
A) to establish a secure, encrypted channel for data transfer between the AI server and external storage
B) to provide a high-speed, low-latency direct interconnect for GPU-to-GPU communication
C) to enable remote access and virtualization of GPU resources for distributed AI development teams
D) to manage power distribution and thermal regulation across all installed GPU units
5. A company implements multicast traffic optimization for distributed AI training nodes. Which protocol enables efficient multicast receiver discovery in IPv4 networks?
A) ARP
B) IGMP
C) CDP
D) LLDP
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: B |
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