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Cisco 300-640 Exam Syllabus Topics:

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. What describes inference traffic patterns in AI deployments?

A) eliminates the need for data preparation
B) simplifies complex neural network architectures
C) optimizes data storage solutions for data lakes
D) provides real-time decision making

2. A Cisco AI environment requires synchronized packet processing timestamps across network devices for analytics accuracy. Which protocol should be deployed?

A) FTP
B) DNS
C) NTP
D) PTP

3. Which components are part of the HyperFabric AI solution?

A) combination of Cisco networking hardware and software-defined storage designed for AI scalability
B) Cisco UCS servers with NVIDIA GPUs, switches, optional VAST Data Storage and cloud- managed networking
C) Cisco UCS servers combined with high-speed networking switches and third-party storage
D) integrated compute and networking hardware optimized for AI workloads, with optional cloud management

4. A server administrator must monitor the performance and utilization of GPUs in Cisco UCS servers running AI workloads. Which two metrics must be used in Cisco Intersight to accomplish these goals? (Choose two.)

A) Monitor
B) GPU Performance
C) Explorer
D) System CPU Utilization
E) GPU Utilization

5. A financial company plans to deploy an AI training and inference infrastructure to support its customers. The team must use a solution that provides 96 GPUs, aligns with NVIDIA-compliant reference architectures, and enables cloud-based management of the entire on-premises network environment. Which Cisco solution meets the requirements?

A) Cisco HyperFabric AI Small AI Cluster with Cisco 6000 switches and AI servers on premises
B) Cisco Intersight AI fabric with Nexus 9000 switches and AI servers on premises
C) Cisco HyperFabric AI Medium AI Cluster with Cisco 6000 switches and AI servers on premises
D) Cisco Nexus Dashboard deployed in AWS or Azure with Nexus 9000 switches and AI servers on premises

Solutions: