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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Infrastructure Operations | 20% | - Performance Optimization - Troubleshooting Common Issues - Monitoring and Management Tools - Capacity Planning |
| Topic 2: AI Infrastructure Fundamentals | 15% | - GPU Architecture and Types - AI Infrastructure Requirements - AI Ecosystem Components - AI Workload Characteristics |
| Topic 3: Cisco AI Infrastructure Architecture | 30% | - Storage Architecture Considerations - Network Architecture for AI Workloads - Cisco UCS AI Infrastructure Solutions - Hyperconverged Infrastructure for AI |
| Topic 4: AI Infrastructure Deployment | 25% | - Hardware Installation and Configuration - GPU Server Configuration - Storage Configuration for AI - Network Switch Configuration - Cabling and Connectivity |
| Topic 5: AI Infrastructure Security and Compliance | 10% | - Compliance Considerations - Security Best Practices - Access Control and Authentication |
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NEW QUESTION # 29
What is a purpose of Cisco AI PODs?
Answer: A
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 # 30
A network engineer is deploying an AI training fabric using Cisco Nexus switches with RoCEv2 enabled. During testing, packet drops occur when traffic bursts exceed buffer capacity. Which feature should be configured to minimize congestion and improve lossless Ethernet performance for GPU traffic?
Answer: C
Explanation:
Priority Flow Control (PFC) allows selective pausing of traffic classes during congestion, which is critical for RoCEv2 environments carrying GPU-to-GPU communication. AI workloads are highly sensitive to packet loss and retransmissions. BPDU Guard and DHCP Snooping are security features, while Storm Control only limits broadcast or multicast traffic and does not create lossless behavior for RDMA traffic.
NEW QUESTION # 31
A data center operator configures telemetry streaming on Cisco Nexus switches. What is the primary operational advantage over traditional SNMP polling?
Answer: D
Explanation:
Streaming telemetry continuously exports operational data in near real time, improving visibility and reducing polling overhead compared to SNMP. AI infrastructures require rapid monitoring of congestion and latency conditions. Telemetry does not remove routing tables or require hardware replacement.
NEW QUESTION # 32
During validation testing, an engineer observes microbursts causing packet drops on GPU uplinks. Which monitoring capability best detects short-duration congestion events?
Answer: A
Explanation:
Microbursts occur within milliseconds and are often missed by traditional monitoring methods.
High-frequency streaming telemetry provides granular visibility into queue depth, drops, and latency conditions in real time. Hourly exports and infrequent manual inspection cannot reliably detect transient AI fabric congestion events.
NEW QUESTION # 33
A data center facility experienced a power outage, and the UCS X-Series servers did not restart automatically when power is restored. The configuration must be updated to prioritize these servers to boot as soon as possible to resume their work. Which set of power policy configurations must be used to meet these requirements?
Answer: C
Explanation:
The servers must be configured to power back on automatically after power is restored, so the restore behavior should be set to always power on. Setting the power priority to high ensures these UCS X-Series servers receive priority during power recovery, allowing them to resume workloads as quickly as possible.
NEW QUESTION # 34
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