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Cisco 300-640 Exam Syllabus Topics:

Section	Weight	Objectives
AI Infrastructure Operations and Troubleshooting	20%	- Implement performance benchmarking and validation - Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts - Manage health, logs, and events - Troubleshoot network, compute, storage, and orchestration issues - Optimize performance, security, and reliability
AI Infrastructure Components and Architecture	30%	- Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures - Evaluate hybrid and multi-cloud AI integration - Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability - Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS - Evaluate power, cooling, and efficiency requirements
AI Infrastructure Fundamentals	20%	- Describe AI use cases in data center environments - Describe AI and machine learning concepts - Describe types of AI infrastructure: on-premises, cloud, hybrid, edge - Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring - Explain Cisco AI infrastructure solutions and portfolio
AI Infrastructure Deployment and Data Management	30%	- Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics - Implement data management and lifecycle for AI workloads - Deploy and manage AI infrastructure with orchestration tools - Integrate AI frameworks and applications with Cisco infrastructure - Configure compute and storage using Cisco UCS: profiles, policies, Intersight

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As far as the top standard and relevancy of Prepare for your Implementing Cisco Data Center AI Infrastructure 300-640 valid dumps are concerned, the Cisco Exam Questions are designed and verified by experienced and qualified 300-640 exam experts. They work closely and put all their expertise to ensure the top standard of 300-640 Exam. The updated Implementing Cisco Data Center AI Infrastructure 300-640 exam questions are available in three different but high-in-demand formats.

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q42-Q47):

NEW QUESTION # 42
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. configuring a firmware policy
adding an operating system configuration file to the software repository
B. adding an OS image to the software repository
adding an operating system configuration file to the software repository
C. configuring a virtual KVM policy
adding a server configuration utility to the software repository
D. adding an OS image to the software repository
adding a server configuration utility to the software repository

Answer: B

Explanation:
In Cisco Intersight, unattended operating system installation requires the OS installation image and the operating system configuration file to be available in the software repository. These files allow Intersight to boot the installer and apply the required unattended installation parameters to the assigned server profile.

NEW QUESTION # 43
A data center is deploying an AI infrastructure for LLM training and model inference. This infrastructure requires high GPU density, low-latency interconnects, and the ability to scale compute resources. When considering the Cisco UCS C885A M8 Rack Server for the deployment, which design aspect is the most critical for achieving optimal performance and scalability in this environment?

A. implementing a redundant power supply configuration to ensure high availability
B. configuring the server with the minimum amount of RAM to reduce initial costs
C. using the maximum number of CPU cores to support the virtualization overhead
D. selecting the appropriate Nexus Fabric and its configuration to minimize latency

Answer: D

Explanation:
For UCS C885A M8 servers running LLM training and inference workloads, the surrounding Nexus fabric design is critical because GPU-dense systems depend on low-latency, high- bandwidth, lossless network connectivity for scale-out performance. Selecting and configuring the correct Nexus fabric minimizes communication delays between compute nodes and enables the AI infrastructure to scale efficiently.

NEW QUESTION # 44
A network administrator configures RDMA over Converged Ethernet version 2 (RoCEv2). Which transport protocol does RoCEv2 use at Layer 4?

A. TCP
B. SCTP
C. ICMP
D. UDP

Answer: D

Explanation:
RoCEv2 encapsulates RDMA traffic over UDP/IP, enabling routable RDMA communication across Layer 3 networks. TCP introduces retransmission and latency overhead unsuitable for high-performance GPU communication. SCTP and ICMP are not used for RoCEv2 transport.

NEW QUESTION # 45
Which set of statements describes Quantized Congestion Notification?

A. Priority Flow Control reacts first to mitigate congestion, and Explicit Congestion Notification acts as a fail-safe to prevent traffic drops if Priority Flow Control is insufficient.
A congestion notification packet sent toward the source by a network switch in response to receiving Explicit Congestion Notification with congestion experienced bits set.
B. Explicit Congestion Notification reacts first to mitigate congestion, and Priority Flow Control acts as a fail-safe to prevent traffic drops if Explicit Congestion Notification is insufficient.
A congestion notification packet sent toward the source by a host in response to receiving Explicit Congestion Notification with congestion experienced bits set.
C. Priority Flow Control reacts first to mitigate congestion, and Explicit Congestion Notification acts as a fail-safe to prevent traffic drops if Priority Flow Control is insufficient.
A congestion notification packet sent toward the source by hosts and the network switch in response to receiving Explicit Congestion Notification with congestion experienced bits set.
D. Explicit Congestion Notification reacts first to mitigate congestion, and Priority Flow Control acts as a fail-safe to prevent traffic drops if Explicit Congestion Notification is insufficient.
A congestion notification packet sent toward the source by hosts and the network switch in response to receiving Explicit Congestion Notification with congestion experienced bits set.

Answer: B

Explanation:
Quantized Congestion Notification relies on Explicit Congestion Notification as the primary congestion signal so the sender can reduce its transmission rate before packet loss occurs.
Priority Flow Control acts as a safety mechanism if congestion becomes severe, and the congestion notification packet is generated by the receiving host when it receives packets marked with congestion-experienced bits.

NEW QUESTION # 46
An engineer is deploying a Cisco AI POD environment to support large-scale AI workloads. The solution must provide a software-defined storage platform with a Disaggregated Shared- Everything architecture, allow compute nodes to run on Cisco UCS C225 M8 servers managed through Cisco Intersight, and deliver exabyte-scale, all-flash performance with integrated high- speed RDMA and GPU Direct Storage capabilities. Which solution meets the requirements?

A. VAST Data Universal Storage
B. Pure Storage FlashBlade
C. NetApp All-Flash FAS (AFF)
D. Local NVMe SSDs within each GPU server

Answer: A

Explanation:
VAST Data Universal Storage provides a software-defined, disaggregated shared-everything storage architecture designed for AI-scale workloads. It supports Cisco UCS-based deployments managed through Intersight and delivers high-performance all-flash storage with RDMA and GPU Direct Storage capabilities for large-scale AI training, fine-tuning, and inference environments.

NEW QUESTION # 47
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