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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. 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?

A) Cisco UCS C845A M8 Server
B) Cisco UCS C240 Servers
C) Cisco UCS X-Series Direct
D) Cisco Unified Edge

2. Server administrators receive reports of power utilization being near capacity across multiple UCS X-Series servers in the data center after a hardware upgrade. The chassis operates with six power supply units in redundant power mode. How can the administrator use additional power without impacting redundancy?

A) Enable extended power capacity.
B) Implement a power capping policy.
C) Disable extended power capacity.
D) Add more power supplies.

3. An engineer must optimize the performance of an AI inference workload running on a Cisco UCS C-Series rack server. The workload experiences intermittent latency spikes, and Intersight system logs show frequent thermal event entries. Which troubleshooting action must be taken first to address the performance issues on the Cisco UCS server?

A) Review the resource utilization of the AI workload (CPU, memory, and GPU) to identify potential bottlenecks and optimize resource allocation.
B) Examine the storage configuration, including the RAID configuration and disk health, to ensure that the storage subsystem is not causing latency issues.
C) Inspect the physical environment of the server, including ambient temperature and airflow, and replace any failed fans.
D) Check the power supply status and power consumption of the UCS server using UCS Manager to ensure that the server has sufficient power.

4. A medium-sized breadmaking operation must deploy a fleet of GPU servers that meet these requirements for their flagship application:
- policy managed through cloud-based interface
- low latency between specific pairs of GPUs
- at least 2 GPUs per server
- all GPUs should be same model
- Intel CPU
- well suited for Inferencing
- customer is power conscious
Which server meets the requirements?

A) C845A M8
B) C245 M8
C) C885A M8
D) X210C M8 with x580 PCIe node

5. 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?

A) It indicates that this anomaly is a result of a higher-level root anomaly.
B) It indicates that the Nexus Dashboard has correlated the scope of the impact.
C) It indicates that the Nexus Dashboard has seen this anomaly across more than one device in the fabric.
D) It indicates that the Nexus Dashboard has correlated this anomaly to activity by specific user account.

Solutions: