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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cisco AI Infrastructure Architecture | 30% | - Cisco UCS AI Infrastructure Solutions - Hyperconverged Infrastructure for AI - Storage Architecture Considerations - Network Architecture for AI Workloads |
| Topic 2: AI Infrastructure Security and Compliance | 10% | - Compliance Considerations - Security Best Practices - Access Control and Authentication |
| Topic 3: AI Infrastructure Fundamentals | 15% | - AI Workload Characteristics - AI Ecosystem Components - AI Infrastructure Requirements - GPU Architecture and Types |
| Topic 4: AI Infrastructure Operations | 20% | - Performance Optimization - Capacity Planning - Monitoring and Management Tools - Troubleshooting Common Issues |
| Topic 5: AI Infrastructure Deployment | 25% | - Cabling and Connectivity - GPU Server Configuration - Network Switch Configuration - Hardware Installation and Configuration - Storage Configuration for AI |
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NEW QUESTION # 73
Which aspect of rapid provisioning supports a scalable workload execution in an AI infrastructure?
Answer: D
Explanation:
Rapid provisioning supports scalable AI workload execution by enabling computational platforms to be launched quickly and consistently as workload demand grows. This allows AI infrastructure to add or prepare compute resources efficiently for training, inference, or data-processing tasks.
NEW QUESTION # 74
Refer to the exhibit. Users report delayed response times and network latency when running certain AI workloads on a specific Cisco UCS Intersight Managed Mode Domain. Based on the fault message and reported symptoms, which troubleshooting action must be taken first to address the network latency issues?
Answer: C
Explanation:
The fault shows a receive error statistics threshold crossing on switch B port 11. Because receive errors on a physical interface commonly indicate cabling, transceiver, or physical-layer issues, the first troubleshooting step is to inspect the physical connection and SFP+ components on the affected port before investigating workload or higher-layer configuration.
NEW QUESTION # 75
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.
Answer:
Explanation:
NEW QUESTION # 76
A network architect wants to provide high availability for AI compute nodes connected to dual Cisco Nexus switches. Which technology enables active-active uplink forwarding without STP blocking?
Answer: C
Explanation:
Virtual Port Channel (vPC) allows devices to use active-active uplinks across two Nexus switches while avoiding spanning-tree blocking. This increases bandwidth utilization and resiliency for AI clusters. GLBP and VRRP provide gateway redundancy, while PVST+ still relies on blocking redundant paths.
NEW QUESTION # 77
What is a function of NVLink technology within a high-performance AI server or cluster?
Answer: C
Explanation:
NVLink provides a high-bandwidth, low-latency direct interconnect between GPUs. In AI servers and clusters, it accelerates GPU-to-GPU communication for training and inference workloads by allowing GPUs to exchange data much faster than through standard PCIe paths.
NEW QUESTION # 78
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