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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. A network architect designs connectivity for a new Cisco AI POD operating in Intersight Managed Mode. To ensure high availability and aggregate bandwidth for external network traffic, a port channel must be established using multiple 100 GbE uplink ports on the fabric interconnects to connect to the upstream core switch infrastructure. Which specific policy, applied through the domain profile, must be modified to define and configure this port channel on the fabric interconnects for the desired uplink connectivity?

A) LAN connectivity policy
B) port policy
C) network connectivity policy
D) Ethernet network group

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

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) using the maximum number of CPU cores to support the virtualization overhead
C) selecting the appropriate Nexus Fabric and its configuration to minimize latency
D) configuring the server with the minimum amount of RAM to reduce initial costs

4. 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) 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
D) Analyze feature automating the deployment and scaling of AI application containers and their underlying Kubernetes infrastructure, which reduces manual monitoring efforts

5. Which IP-based storage transport supports flow control between directly connected devices?

A) iSCSI
B) NVMe/RoCE
C) NVMe/TCP
D) Fibre Channel

Solutions: