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

Refer to the exhibit.

When a new AI backend network that supports Cisco UCS-based GPU servers with NVIDIA Connect-X network adapters is benchmarked, the traffic distribution observed has unacceptable variability across the interfaces.

Drag and drop the code snippets from the bottom onto the boxes in the code to configure the switch to resolve the issue.

An engineer configures quality of service in the Cisco ACI fabric to connect VAST storage servers.

Which combination of attributes must be selected?

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 current compute environment must co-exist with the newly purposed GPU-enabled workload. This environment will continue to grow, so the customer wants to scale out the resources as needed.

Which Cisco product meets the requirements?

When considering a rail-only network design, when would adding spine switches make sense?

A network engineer is designing congestion management for an AI cluster using RoCEv2 transport. Based on Cisco best practices, the engineer must understand how ECN and PFC work together to provide lossless Ethernet transport.

Drag and drop the congestion management mechanisms from the left onto the corresponding descriptions on the right. Not all options are used.

What is the process involved in workload scheduling for AI environments?

A Cisco UCS C885A M8 server contains a GPU sled configured with six power supply units (PSUs) in an N+2 redundancy configuration. The workload on the GPU sled is currently drawing a load of 4500W.

Using Power Save Mode, how many PSUs can be placed into standby mode to improve power efficiency without compromising redundancy?

Which result is provided through image recognition using AI?

A network engineer logs into Nexus Dashboard and sees an anomaly showing that a BGP peer connection has gone down. Next to the anomaly, a yellow bubble displays “Correlated.”

What does Nexus Dashboard indicate by “Correlated” in this case?

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 data center administrator for a medium-sized manufacturing facility uses Intersight to perform unattended operating system installation on already discovered X-Series servers with server profiles assigned.

Which set of prerequisites must be met for installing an operating system on a server in Cisco Mode?

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?

A national law firm is deploying a RAG solution for their legal research team to more efficiently use their 50 TB of confidential data and documents when preparing new contracts and briefs. They decided on a UCS X-Series chassis equipped with four GPUs and six X210c servers.

Which storage solution fits this deployment?

An organization deploys a new AI training fabric that uses RoCEv2 for GPU communication. The network architect designs the QoS configuration to ensure reliable RDMA transport and must meet these requirements:

Support 256 GPU servers with RDMA connectivity.

Prevent any packet loss that causes RDMA connection failures.

Maintain consistent low-latency communication with a target of less than 10 microseconds.

Use industry-standard protocols and configurations.

Which configuration ensures that RoCEv2 operates as a lossless transport?

A network engineer analyzes RoCEv2 traffic flows in an AI training cluster and notices that all RoCEv2 packets have the Don’t Fragment bit set in the IP header.

Why must RoCEv2 set the DF bit in all packets?

Which components are part of the HyperFabric AI solution?

A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are:

high availability of the chassis management plane.

support for up to 768 GB of memory for in-memory model storage and processing

remote server launch requiring no on-site IT staff

use of Cisco Intersight for SaaS-based infrastructure lifecycle management

Which solution meets the requirements?