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| Section | Weight | Objectives |
|---|---|---|
| AI Infrastructure Deployment | 25% | - Network Switch Configuration - Hardware Installation and Configuration - GPU Server Configuration - Storage Configuration for AI - Cabling and Connectivity |
| AI Infrastructure Fundamentals | 15% | - AI Workload Characteristics - AI Infrastructure Requirements - GPU Architecture and Types - AI Ecosystem Components |
| Cisco AI Infrastructure Architecture | 30% | - Network Architecture for AI Workloads - Hyperconverged Infrastructure for AI - Storage Architecture Considerations - Cisco UCS AI Infrastructure Solutions |
| AI Infrastructure Security and Compliance | 10% | - Compliance Considerations - Access Control and Authentication - Security Best Practices |
| AI Infrastructure Operations | 20% | - Monitoring and Management Tools - Performance Optimization - Troubleshooting Common Issues - Capacity Planning |
1. 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
2. A Cisco Nexus switch experiences head-of-line blocking in an RDMA environment. Which mechanism is most effective in reducing this condition?
A) NAT overload
B) Weighted Random Early Detection
C) PortFast
D) Virtual output queuing
3. When considering a rail-only network design, when would adding spine switches make sense?
A) when scaling out to support traffic between multiple scalable units
B) when needing a greater path redundancy within a single scalable unit
C) when increasing the overall available buffers that spines provide
D) when providing greater overall total bandwidth within a single scalable unit
4. 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?
A) traditional three-tier
B) flat Layer 2
C) rail optimized
D) leaf-spine
5. 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?
A) Manual CLI consistency checks
B) Local VLAN switching
C) Distributed ACL processing
D) Intent-based fabric automation
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: D |
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