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| Section | Weight | Objectives |
|---|---|---|
| AI Infrastructure Fundamentals | 15% | - AI Workload Characteristics - AI Ecosystem Components - AI Infrastructure Requirements - GPU Architecture and Types |
| AI Infrastructure Security and Compliance | 10% | - Compliance Considerations - Access Control and Authentication - Security Best Practices |
| AI Infrastructure Deployment | 25% | - Network Switch Configuration - Hardware Installation and Configuration - GPU Server Configuration - Cabling and Connectivity - Storage Configuration for AI |
| AI Infrastructure Operations | 20% | - Performance Optimization - Troubleshooting Common Issues - Monitoring and Management Tools - Capacity Planning |
| Cisco AI Infrastructure Architecture | 30% | - Hyperconverged Infrastructure for AI - Storage Architecture Considerations - Network Architecture for AI Workloads - Cisco UCS AI Infrastructure Solutions |
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NEW QUESTION # 34
Drag and Drop Question
An engineer must configure vNIC templates for a UCS X-Series deployment. Drag and drop the policy types from the left onto the corresponding configuration settings on the right. Not all options are used.
Answer:
Explanation:
NEW QUESTION # 35
A network operations team deploys HyperFabric AI and wants to monitor fabric health to proactively identify performance issues. The team must track metrics specifically relevant to AI training workloads. Which metric is most critical for identifying congestion issues that could impact AI training performance in a HyperFabric AI deployment?
Answer: C
Explanation:
PFC pause frame transmission rate is the key congestion indicator for lossless Ethernet fabrics used by AI training workloads. A high or increasing pause frame rate shows that interfaces are experiencing congestion and applying flow control, which can directly affect GPU-to-GPU communication performance in a HyperFabric AI environment.
NEW QUESTION # 36
A medical company has existing third-party AI servers and NVMe storage, but they want to purchase Cisco network switches with a cloud managed feature for simplicity. Which solution best meets the requirements?
Answer: D
Explanation:
Bring Your Own AI HyperFabric is the best fit when the customer already has third-party AI servers and NVMe storage but wants Cisco 6000 Series switching with simplified cloud-managed fabric operations. The Premier license aligns with the AI-focused HyperFabric use case, while Cisco describes Nexus HyperFabric as a cloud-managed AI infrastructure solution using Cisco
6000 Series switches for AI workloads.
NEW QUESTION # 37
A customer deploys a UCS 885a server in a data center with two power grids. Three of the
3000W power supplies in the server connect to each grid. Due to an external event, one of the grids will be shut down for maintenance. How does the server respond to this event?
Answer: D
Explanation:
With three 3000W power supplies lost from one power grid, the UCS C885A continues operating on the remaining grid but no longer has the full power budget available for maximum GPU operation. The server reduces performance by enforcing power limits, including capping GPU power, so workloads can continue running within the available power capacity.
NEW QUESTION # 38
What describes inference traffic patterns in AI deployments?
Answer: D
Explanation:
Inference traffic is associated with using a trained model to generate predictions or responses from new input data. In AI deployments, this commonly supports real-time or near-real-time decision making, such as classification, recommendations, detection, or automated responses.
NEW QUESTION # 39
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