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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. A large-scale retail store manages many compute resources spread across branch offices, which enables AI workloads to be processed on-premises. Each workload and site location requires specific OS installation and configuration. To simplify management, configuration, and deployment of the workloads, a Cisco Intersight feature must be used that enables workload deployment at scale. Which feature must be used to accomplish this functionality?

A) domain management
B) server management
C) fleet management
D) chassis management

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

A) delayed rollout of new network resources
B) efficient launch of computational platforms
C) distinct management for isolated components
D) limited connectivity within isolated locations

3. An engineer configures Cisco Nexus Dashboard Fabric Controller for AI infrastructure automation. The company wants centralized policy management and simplified fabric provisioning across multiple pods. Which capability provides this benefit?

A) Local VLAN switching
B) Distributed ACL processing
C) Intent-based fabric automation
D) Manual CLI consistency checks

4. 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?

A) 2
B) 1
C) 0
D) 3

5. A company implements multicast traffic optimization for distributed AI training nodes. Which protocol enables efficient multicast receiver discovery in IPv4 networks?

A) LLDP
B) CDP
C) IGMP
D) ARP

Solutions: