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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Infrastructure Security and Compliance | 10% | - Compliance Considerations - Access Control and Authentication - Security Best Practices |
| Topic 2: Cisco AI Infrastructure Architecture | 30% | - Hyperconverged Infrastructure for AI - Storage Architecture Considerations - Network Architecture for AI Workloads - Cisco UCS AI Infrastructure Solutions |
| Topic 3: AI Infrastructure Deployment | 25% | - Network Switch Configuration - Storage Configuration for AI - Cabling and Connectivity - Hardware Installation and Configuration - GPU Server Configuration |
| Topic 4: AI Infrastructure Operations | 20% | - Monitoring and Management Tools - Performance Optimization - Troubleshooting Common Issues - Capacity Planning |
| Topic 5: AI Infrastructure Fundamentals | 15% | - GPU Architecture and Types - AI Workload Characteristics - AI Infrastructure Requirements - AI Ecosystem Components |
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NEW QUESTION # 77
An engineer deploys an AI fabric on Cisco Nexus 9000 Series Switches connected to Cisco UCS nodes with NVIDIA GPUs. The requirements call for optimal network performance for training workloads. Adaptive routing is enabled on the NICs, and per-packet load balancing is enabled on the switches. Which other configuration must be implemented for this integration to be fully operational?
Answer: B
Explanation:
The NIC must be explicitly configured with the Cisco dynamic load-balancing setting so it recognizes that the connected Cisco Nexus fabric supports adaptive routing. This completes the integration between NIC-side adaptive routing and switch-side per-packet load balancing for optimized AI training traffic.
NEW QUESTION # 78
An engineer notices excessive broadcast traffic inside a legacy AI server VLAN. Which technology should be implemented to reduce flooding and improve scalability?
Answer: D
Explanation:
VXLAN EVPN reduces unknown unicast and broadcast flooding by using control-plane learning with BGP EVPN. This improves scalability in modern AI data centers. RIP is outdated for large- scale fabrics, while PAT and GRE tunneling do not address broadcast domain limitations.
NEW QUESTION # 79
What is a primary behavior that occurs during the model training stage of the AI lifecycle?
Answer: B
Explanation:
During model training, the model learns from training data by iteratively adjusting its internal weights and biases to reduce prediction error and improve performance against the defined objective function.
NEW QUESTION # 80
A network administrator configures RDMA over Converged Ethernet version 2 (RoCEv2). Which transport protocol does RoCEv2 use at Layer 4?
Answer: A
Explanation:
RoCEv2 encapsulates RDMA traffic over UDP/IP, enabling routable RDMA communication across Layer 3 networks. TCP introduces retransmission and latency overhead unsuitable for high-performance GPU communication. SCTP and ICMP are not used for RoCEv2 transport.
NEW QUESTION # 81
A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are:
- high availability of the chassis management plane.
- support for up to 768 GB of memory for in-memory model storage and
processing
- remote server launch requiring no on-site IT staff
- use of Cisco Intersight for SaaS-based infrastructure lifecycle
management
Which solution meets the requirements?
Answer: B
NEW QUESTION # 82
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