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Cisco 300-640 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI Infrastructure Deployment	25%	- GPU Server Configuration - Network Switch Configuration - Storage Configuration for AI - Cabling and Connectivity - Hardware Installation and Configuration
Topic 2: Cisco AI Infrastructure Architecture	30%	- Storage Architecture Considerations - Hyperconverged Infrastructure for AI - Cisco UCS AI Infrastructure Solutions - Network Architecture for AI Workloads
Topic 3: AI Infrastructure Fundamentals	15%	- AI Infrastructure Requirements - AI Workload Characteristics - GPU Architecture and Types - AI Ecosystem Components
Topic 4: AI Infrastructure Security and Compliance	10%	- Security Best Practices - Access Control and Authentication - Compliance Considerations
Topic 5: AI Infrastructure Operations	20%	- Capacity Planning - Monitoring and Management Tools - Performance Optimization - Troubleshooting Common Issues

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q18-Q23):

NEW QUESTION # 18
An organization deploys Cisco Nexus switches supporting RoCEv2 traffic. Which QoS behavior is most critical to maintain reliable GPU communication?

A. Randomized path selection
B. Strict packet fragmentation
C. Best-effort forwarding
D. Low-latency lossless transport

Answer: D

Explanation:
RoCEv2 depends on low-latency and near-lossless Ethernet transport to maintain efficient RDMA communication. Packet drops trigger retransmissions and significantly degrade AI training performance. Best-effort forwarding cannot guarantee delivery quality, while fragmentation and randomized path selection do not address the primary RDMA requirement.

NEW QUESTION # 19
A corporate network administrator manages a HyperFabric AI environment and wants to receive email notifications about assertions in the fabric. The administrator sets up a recipient email endpoint under the notification endpoints in the controller, but notifications are not received.
Which two configurations cause the issue? (Choose two.)

A. The recipient email address is not verified by the HyperFabric controller.
B. The HyperFabric controller cannot reach the email server of the Acme Corporation.
C. The email server configuration is not configured using the DNS name.
D. The DNS server IP is not defined in the controller.
E. The fabric of interest and email endpoint are not configured in the default notification policy.

Answer: A,E

Explanation:
Email endpoints must be verified before they can receive HyperFabric notifications, and the endpoint must also be included with the relevant fabric in the notification policy. Creating the email endpoint alone does not activate assertion notifications for a fabric until both of these notification requirements are completed.

NEW QUESTION # 20
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. Inspect the physical environment of the server, including ambient temperature and airflow, and replace any failed fans.
B. Check the power supply status and power consumption of the UCS server using UCS Manager to ensure that the server has sufficient power.
C. Review the resource utilization of the AI workload (CPU, memory, and GPU) to identify potential bottlenecks and optimize resource allocation.
D. Examine the storage configuration, including the RAID configuration and disk health, to ensure that the storage subsystem is not causing latency issues.

Answer: A

Explanation:
Frequent thermal events indicate that the server may be throttling CPU or GPU performance to protect hardware from overheating. The first action is to verify the physical cooling conditions, including ambient temperature, airflow, and fan health, because resolving thermal constraints directly addresses the likely cause of intermittent latency spikes.

NEW QUESTION # 21
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. using the maximum number of CPU cores to support the virtualization overhead
B. selecting the appropriate Nexus Fabric and its configuration to minimize latency
C. configuring the server with the minimum amount of RAM to reduce initial costs
D. implementing a redundant power supply configuration to ensure high availability

Answer: B

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 # 22
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. GPU Utilization
B. System CPU Utilization
C. Monitor
D. Explorer
E. GPU Performance

Answer: A,E

Explanation:
Cisco Intersight provides GPU-focused telemetry for UCS servers, including utilization and performance metrics. These measurements allow the administrator to monitor how heavily the GPUs are being used and whether the AI workload is receiving the expected GPU performance.

NEW QUESTION # 23
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