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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Infrastructure Operations and Troubleshooting | 20% | - Manage health, logs, and events - Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts - Optimize performance, security, and reliability - Troubleshoot network, compute, storage, and orchestration issues - Implement performance benchmarking and validation |
| Topic 2: AI Infrastructure Deployment and Data Management | 30% | - Configure compute and storage using Cisco UCS: profiles, policies, Intersight - Integrate AI frameworks and applications with Cisco infrastructure - Implement data management and lifecycle for AI workloads - Deploy and manage AI infrastructure with orchestration tools - Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics |
| Topic 3: AI Infrastructure Fundamentals | 20% | - Explain Cisco AI infrastructure solutions and portfolio - Describe AI and machine learning concepts - Describe AI use cases in data center environments - Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring - Describe types of AI infrastructure: on-premises, cloud, hybrid, edge |
| Topic 4: AI Infrastructure Components and Architecture | 30% | - Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability - Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS - Evaluate power, cooling, and efficiency requirements - Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures - Evaluate hybrid and multi-cloud AI integration |
1. 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) Streaming telemetry with high-frequency sampling
C) NetFlow with hourly exports
D) Manual CLI inspection once per week
2. Which aspect of rapid provisioning supports a scalable workload execution in an AI infrastructure?
A) distinct management for isolated components
B) efficient launch of computational platforms
C) limited connectivity within isolated locations
D) delayed rollout of new network resources
3. Drag and Drop Question
An organization is deploying an AI/ML infrastructure with multiple network fabrics, each serving a specific purpose. The network architect must match the network fabric type with its primary function. Drag and drop the network fabric types from the left onto the corresponding descriptions on the right.
4. What describes inference traffic patterns in AI deployments?
A) simplifies complex neural network architectures
B) eliminates the need for data preparation
C) optimizes data storage solutions for data lakes
D) provides real-time decision making
5. A network engineer must secure management access to Cisco Nexus AI switches. Which protocol should replace Telnet to provide encrypted administrative sessions?
A) SNMPv1
B) SSH
C) TFTP
D) FTP
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: Only visible for members | Question # 4 Answer: D | Question # 5 Answer: B |
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