Question 1

DRAG DROPRefer to the exhibit. When a new AI backend network that supports Cisco UCS-based GPU serverswith NVIDIA Connect-X network adapters is benchmarked, the traffic distribution observed hasunacceptable variability across the interfaces.Drag and drop the code snippets from the bottom onto the boxes in the code to configure the switchto resolve the issue. Please review the explanation below to find the correct answer.Do you know the answer?

Options :

A : Yes, I know it.

B : No, I am not sure.

Answer: A

Question 2

What describes inference traffic patterns in AI deployments?

Options :

A : optimizes data storage solutions for data lakes

B : simplifies complex neural network architectures

C : provides real-time decision making

D : eliminates the need for data preparation

Answer: C

Question 3

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

Options :

A : Deploy a Cisco MDS 9000 Series Switch for Fibre Channel connectivity to storage. Use a Cisco Fabric Interconnect for management traffic only.

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 : Use a single Cisco Fabric Interconnect in a standalone configuration. Connect all UCS servers directly to it using 10 Gb Ethernet.

D : 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.

Answer: D

Question 4

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

Options :

A : Analyze feature automating the deployment and scaling of AI application containers and their underlying Kubernetes infrastructure, which reduces manual monitoring efforts

B : 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

C : 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

D : 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 orkload execution

Answer: D

Question 5

A national law firm is deploying a RAG solution for their legal research team to more efficiently usetheir 50 TB of confidential data and documents when preparing new contracts and briefs. Theydecided on a UCS X-Series chassis equipped with four GPUs and six X210c servers.Which storage solution fits this deployment?

Options :

A : IP-based storage array

B : local storage in a JBOD configuration

C : tape storage

D : local storage in a RAID 5 configuration

Answer: A

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