300-640 Test Collection & Questions 300-640 Exam

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Cisco 300-640 Exam Syllabus Topics:

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

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q76-Q81):

NEW QUESTION # 76
A customer deploys a UCS 885a server in a data center with two power grids. Three of the
3000W power supplies in the server connect to each grid. Due to an external event, one of the grids will be shut down for maintenance. How does the server respond to this event?

A. The server immediately shuts down and stops all operations.
B. The server continues to operate at full performance using redundant power supplies, but the PSU status LED glows solid amber.
C. The server initiates a graceful shut down of the operating system.
D. The server operates with reduced performance and caps power to GPUs at 60%.

Answer: D

Explanation:
With three 3000W power supplies lost from one power grid, the UCS C885A continues operating on the remaining grid but no longer has the full power budget available for maximum GPU operation. The server reduces performance by enforcing power limits, including capping GPU power, so workloads can continue running within the available power capacity.

NEW QUESTION # 77
A solutions architect must implement a monitoring strategy for a new AI/ML data center infrastructure built on Cisco UCS X-Series servers with NVIDIA H100 GPUs, managed by Cisco Intersight. The main objectives are to gain deep visibility into GPU performance, identify resource bottlenecks for AI training workloads, and ensure the overall health and efficiency of the compute environment. Which Cisco Intersight capability is most critical for effectively monitoring this AI- centric infrastructure?

A. basic server health reporting, which is limited to CPU and memory statistics, and requires specialized third-party tools for any GPU-specific performance monitoring or diagnostics
B. Analyze feature automating the deployment and scaling of AI application containers and their underlying Kubernetes infrastructure, which reduces manual monitoring efforts
C. integration with Cisco Nexus Dashboard for advanced network flow analytics and anomaly detection across the data center fabric, which ensures high-speed data transfer between GPU nodes
D. comprehensive health and performance monitoring, which provides real-time telemetry data for UCS servers, including granular metrics for NVIDIA GPUs, which enables direct insights into AI workload execution

Answer: D

Explanation:
Cisco Intersight provides health and performance monitoring for UCS servers, including real-time telemetry and GPU-specific metrics for NVIDIA GPUs. This visibility is essential for identifying bottlenecks, tracking AI training workload behavior, and maintaining the health and efficiency of GPU-accelerated UCS X-Series infrastructure.

NEW QUESTION # 78
A network architect wants to provide high availability for AI compute nodes connected to dual Cisco Nexus switches. Which technology enables active-active uplink forwarding without STP blocking?

A. VRRP
B. vPC
C. PVST+
D. GLBP

Answer: B

Explanation:
Virtual Port Channel (vPC) allows devices to use active-active uplinks across two Nexus switches while avoiding spanning-tree blocking. This increases bandwidth utilization and resiliency for AI clusters. GLBP and VRRP provide gateway redundancy, while PVST+ still relies on blocking redundant paths.

NEW QUESTION # 79
How does RAG enhance the capabilities of LLMs?

A. by removing inherent biases from LLM outputs
B. by removing the data preparation and cleaning step
C. by retaining the LLM by altering its core parameters
D. by providing access to proprietary data

Answer: D

Explanation:
RAG enhances LLMs by retrieving relevant external or proprietary information at generation time and using that context to produce more accurate, current, and domain-specific responses without changing the model's core parameters.

NEW QUESTION # 80
A global enterprise is deploying a new AI-driven analytics platform that requires high-performance GPU acceleration, large memory capacity, and robust virtualization support. The compute and GPU resources selected must provide direct GPU to GPU access leveraging NVLink technology.
Which set of products meets the requirements?

A. UCS C845A M8 with AMD MI210 GPU
B. UCS C240 M8 with NVIDIA L40 GPU
C. UCS C220 M8 with NVIDIA A16 GPU
D. UCS C885A M8 with NVIDIA H200 GPU

Answer: D

Explanation:
Cisco UCS C885A M8 with NVIDIA H200 GPUs is designed for high-performance AI workloads that require dense GPU acceleration, large memory capacity, and direct GPU-to-GPU communication through NVIDIA NVLink. This combination supports demanding analytics, training, and inference workloads where high-bandwidth GPU interconnect is required.

NEW QUESTION # 81
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