Last Updated: Aug 05, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Cisco AI Infrastructure Architecture | 30% | - Network Architecture for AI Workloads - Storage Architecture Considerations - Hyperconverged Infrastructure for AI - Cisco UCS AI Infrastructure Solutions |
| AI Infrastructure Security and Compliance | 10% | - Security Best Practices - Compliance Considerations - Access Control and Authentication |
| AI Infrastructure Deployment | 25% | - Storage Configuration for AI - Network Switch Configuration - GPU Server Configuration - Hardware Installation and Configuration - Cabling and Connectivity |
| AI Infrastructure Fundamentals | 15% | - AI Infrastructure Requirements - AI Workload Characteristics - AI Ecosystem Components - GPU Architecture and Types |
| AI Infrastructure Operations | 20% | - Monitoring and Management Tools - Troubleshooting Common Issues - Performance Optimization - Capacity Planning |
1. An engineer is deploying a Cisco AI POD environment to support large-scale AI workloads. The solution must provide a software-defined storage platform with a Disaggregated Shared- Everything architecture, allow compute nodes to run on Cisco UCS C225 M8 servers managed through Cisco Intersight, and deliver exabyte-scale, all-flash performance with integrated high- speed RDMA and GPU Direct Storage capabilities. Which solution meets the requirements?
A) Pure Storage FlashBlade
B) Local NVMe SSDs within each GPU server
C) NetApp All-Flash FAS (AFF)
D) VAST Data Universal Storage
2. Which type of Cisco Intersight profile, when deployed to fabric interconnects, includes the configuration settings for ports, VLANs, and VSANs?
A) UCS Server profiles
B) Unified Edge profiles
C) UCS Chassis profiles
D) UCS Domain profiles
3. Drag and Drop Question
Refer to the exhibit. When a new AI backend network that supports Cisco UCS-based GPU servers with NVIDIA Connect-X network adapters is benchmarked, the traffic distribution observed has unacceptable variability across the interfaces. Drag and drop the code snippets from the bottom onto the boxes in the code to configure the switch to resolve the issue.
4. A company is building a network fabric for an AI training cluster that will train large language models. The cluster includes 256 GPUs distributed across 32 servers. Security requirements mandate isolation between different training projects and allowing shared access to a central storage system. Which approach provides the required security isolation and maintains optimal performance for GPU-to-GPU communication?
A) Configure QoS-based traffic steering with separate DSCP markings per project and policy-based routing to shared storage.
B) Deploy separate physical networks for each project with dedicated switches and cross-connects to shared storage.
C) Use VXLAN with separate VNIs per project and Group Policy Option to control granular access to shared storage.
D) Implement port-based VLANs for each project with router ACLs controlling storage access at the distribution layer.
5. Drag and Drop Question
A network engineer is designing congestion management for an AI cluster using RoCEv2 transport. Based on Cisco best practices, the engineer must understand how ECN and PFC work together to provide lossless Ethernet transport. Drag and drop the congestion management mechanisms from the left onto the corresponding descriptions on the right. Not all options are used.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: Only visible for members | Question # 4 Answer: C | Question # 5 Answer: Only visible for members |
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