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Cisco 300-640 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Infrastructure Deployment | 25% | - GPU Server Configuration - Cabling and Connectivity - Hardware Installation and Configuration - Storage Configuration for AI - Network Switch Configuration |
| Topic 2: AI Infrastructure Security and Compliance | 10% | - Access Control and Authentication - Security Best Practices - Compliance Considerations |
| Topic 3: AI Infrastructure Fundamentals | 15% | - AI Workload Characteristics - AI Infrastructure Requirements - AI Ecosystem Components - GPU Architecture and Types |
| Topic 4: Cisco AI Infrastructure Architecture | 30% | - Storage Architecture Considerations - Network Architecture for AI Workloads - Hyperconverged Infrastructure for AI - Cisco UCS AI Infrastructure Solutions |
| Topic 5: AI Infrastructure Operations | 20% | - Troubleshooting Common Issues - Performance Optimization - Monitoring and Management Tools - Capacity Planning |
Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:
1. A Cisco Nexus switch participates in an AI cluster using ECMP forwarding. Several flows between GPU servers consistently use the same uplink, creating congestion while other links remain underutilized. Which action improves traffic distribution?
A) Disable hashing
B) Enable port security
C) Increase MTU size
D) Modify the hashing algorithm
2. A Cisco AI cluster requires segmentation between multiple research teams sharing the same physical infrastructure. Which solution provides scalable tenant isolation?
A) VLAN-only design
B) Hub-and-spoke WAN
C) VXLAN overlays
D) Static NAT
3. 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) NetApp All-Flash FAS (AFF)
B) Pure Storage FlashBlade
C) Local NVMe SSDs within each GPU server
D) VAST Data Universal Storage
4. During validation testing, an engineer observes microbursts causing packet drops on GPU uplinks. Which monitoring capability best detects short-duration congestion events?
A) Daily syslog review
B) Manual CLI inspection once per week
C) Streaming telemetry with high-frequency sampling
D) NetFlow with hourly exports
5. What is a primary behavior that occurs during the model training stage of the AI lifecycle?
A) establishing success criteria
B) embedding the model into systems with APIs
C) adjusting internal weights and biases
D) detecting model drift
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: C |







