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Cisco 300-640 Exam Syllabus Topics:

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. A server administrator must monitor the performance and utilization of GPUs in Cisco UCS servers running AI workloads. Which two metrics must be used in Cisco Intersight to accomplish these goals? (Choose two.)

A) Insights
B) Explorer
C) GPU Memory Utilization
D) Monitor
E) Active CPU Utilization

2. A solutions architect must implement a monitoring strategy for a new AI/ML data center infrastructure built on Cisco UCS X-Series servers with NVIDIA H100 GPUs, managed by Cisco Intersight. The main objectives are to gain deep visibility into GPU performance, identify resource bottlenecks for AI training workloads, and ensure the overall health and efficiency of the compute environment. Which Cisco Intersight capability is most critical for effectively monitoring this AI- centric infrastructure?

A) basic server health reporting, which is limited to CPU and memory statistics, and requires specialized third-party tools for any GPU-specific performance monitoring or diagnostics
B) comprehensive health and performance monitoring, which provides real-time telemetry data for UCS servers, including granular metrics for NVIDIA GPUs, which enables direct insights into AI workload execution
C) Analyze feature automating the deployment and scaling of AI application containers and their underlying Kubernetes infrastructure, which reduces manual monitoring efforts
D) integration with Cisco Nexus Dashboard for advanced network flow analytics and anomaly detection across the data center fabric, which ensures high-speed data transfer between GPU nodes

3. A data center is deploying an AI infrastructure for LLM training and model inference. This infrastructure requires high GPU density, low-latency interconnects, and the ability to scale compute resources. When considering the Cisco UCS C885A M8 Rack Server for the deployment, which design aspect is the most critical for achieving optimal performance and scalability in this environment?

A) implementing a redundant power supply configuration to ensure high availability
B) selecting the appropriate Nexus Fabric and its configuration to minimize latency
C) using the maximum number of CPU cores to support the virtualization overhead
D) configuring the server with the minimum amount of RAM to reduce initial costs

4. Which aspect of rapid provisioning supports a scalable workload execution in an AI infrastructure?

A) distinct management for isolated components
B) delayed rollout of new network resources
C) efficient launch of computational platforms
D) limited connectivity within isolated locations

5. 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?

A) Examine the UCS fabric interconnect configuration for port-channel 11 on Fabric Interconnect B.
B) Check the physical cabling and SFP+ transceivers on port 11 of switch B for potential hardware failures or incorrect configurations.
C) Review the AI workload configuration to optimize resource allocation (CPU, memory, GPU) for the affected applications.
D) Review the pause frame counters for signs of congestion on Fabric Interconnect B Port 11.

Solutions: