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| Section | Weight | Objectives |
|---|---|---|
| Cisco AI Infrastructure Architecture | 30% | - Storage Architecture Considerations - Cisco UCS AI Infrastructure Solutions - Network Architecture for AI Workloads - Hyperconverged Infrastructure for AI |
| AI Infrastructure Deployment | 25% | - Hardware Installation and Configuration - Network Switch Configuration - Storage Configuration for AI - Cabling and Connectivity - GPU Server Configuration |
| AI Infrastructure Security and Compliance | 10% | - Access Control and Authentication - Security Best Practices - Compliance Considerations |
| AI Infrastructure Operations | 20% | - Monitoring and Management Tools - Troubleshooting Common Issues - Performance Optimization - Capacity Planning |
| AI Infrastructure Fundamentals | 15% | - AI Infrastructure Requirements - AI Ecosystem Components - AI Workload Characteristics - GPU Architecture and Types |
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NEW QUESTION # 15
A data center team enables jumbo frames in a Cisco AI cluster. What is the primary benefit of increasing the MTU for east-west GPU traffic?
Answer: C
Explanation:
Jumbo frames reduce the number of packets needed to transmit large AI datasets, decreasing CPU interrupts and protocol overhead. This improves throughput and efficiency for GPU communication. Larger MTUs do not directly affect convergence or eliminate buffering, and they typically reduce rather than increase processing overhead.
NEW QUESTION # 16
A Cisco AI environment requires synchronized packet processing timestamps across network devices for analytics accuracy. Which protocol should be deployed?
Answer: B
Explanation:
Precision Time Protocol (PTP) provides highly accurate clock synchronization required for latency-sensitive AI and analytics environments. NTP offers lower precision suitable for general IT systems. FTP and DNS are unrelated to time synchronization.
NEW QUESTION # 17
A financial company plans to deploy an AI training and inference infrastructure to support its customers. The team must use a solution that provides 96 GPUs, aligns with NVIDIA-compliant reference architectures, and enables cloud-based management of the entire on-premises network environment. Which Cisco solution meets the requirements?
Answer: C
Explanation:
Cisco HyperFabric AI Small AI Cluster matches the 96-GPU requirement because the validated HyperFabric reference architecture uses 12 Cisco UCS C885A M8 servers with NVIDIA HGX for a total of 96 GPUs. Cisco Nexus HyperFabric is also cloud-managed and compliant with NVIDIA Enterprise Reference Architecture, enabling centralized management of the on-premises AI network, GPU servers, and storage.
NEW QUESTION # 18
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?
Answer: D
NEW QUESTION # 19
What is a purpose of Cisco AI PODs?
Answer: B
Explanation:
Cisco AI PODs are designed as integrated, validated full-stack infrastructure solutions that combine compute, networking, storage, and management capabilities to support AI training, fine- tuning, and inferencing workloads with faster deployment and operational consistency.
NEW QUESTION # 20
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