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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. How does RAG enhance the capabilities of LLMs?

A) by retaining the LLM by altering its core parameters
B) by providing access to proprietary data
C) by removing the data preparation and cleaning step
D) by removing inherent biases from LLM outputs

2. An end customer plans to deploy an AI fabric in a new data center. Their engineers are more familiar with CLI-based networks and require the capability to automate standardized configuration templates and monitor flows for the fabric. Which data center automation tool meets the requirements?

A) Intersight
B) Digital Network Architecture Center
C) Nexus Dashboard
D) HyperFabric

3. A company deploys a Cisco UCS environment to host AI inferencing workloads that demand low latency, high throughput, and efficient resource utilization. Which set of actions must be taken to deploy a high-performance fabric within the Cisco UCS infrastructure?

A) Implement a dual-fabric design with two Cisco Fabric Interconnects, and use 100 Gb Ethernet for server-to-fabric connectivity.
Configuring port channels for uplink connections.
B) Connect UCS servers to a Cisco Nexus 3000 Series Switch using 100 Gb Ethernet.
Configure a separate management network using a dedicated Cisco Catalyst switch.
C) Deploy a Cisco MDS 9000 Series Switch for Fibre Channel connectivity to storage.
Use a Cisco Fabric Interconnect for management traffic only.
D) Use a single Cisco Fabric Interconnect in a standalone configuration.
Connect all UCS servers directly to it using 10 Gb Ethernet.

4. 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?

A) BPDU Guard
B) Priority Flow Control
C) DHCP Snooping
D) Storm Control

5. A global enterprise is deploying a new AI-driven analytics platform that requires high-performance GPU acceleration, large memory capacity, and robust virtualization support. The compute and GPU resources selected must provide direct GPU to GPU access leveraging NVLink technology.
Which set of products meets the requirements?

A) UCS C885A M8 with NVIDIA H200 GPU
B) UCS C240 M8 with NVIDIA L40 GPU
C) UCS C220 M8 with NVIDIA A16 GPU
D) UCS C845A M8 with AMD MI210 GPU

Solutions: