New Cisco 300-640 Test Labs & Pdf 300-640 Exam Dump

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Cisco 300-640 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Infrastructure Deployment and Data Management30%- Integrate AI frameworks and applications with Cisco infrastructure
- Implement data management and lifecycle for AI workloads
- Deploy and manage AI infrastructure with orchestration tools
- Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics
- Configure compute and storage using Cisco UCS: profiles, policies, Intersight
Topic 2: AI Infrastructure Fundamentals20%- Describe types of AI infrastructure: on-premises, cloud, hybrid, edge
- Describe AI use cases in data center environments
- Describe AI and machine learning concepts
- Explain Cisco AI infrastructure solutions and portfolio
- Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring
Topic 3: AI Infrastructure Components and Architecture30%- Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS
- Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures
- Evaluate power, cooling, and efficiency requirements
- Evaluate hybrid and multi-cloud AI integration
- Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability
Topic 4: AI Infrastructure Operations and Troubleshooting20%- Optimize performance, security, and reliability
- Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts
- Troubleshoot network, compute, storage, and orchestration issues
- Manage health, logs, and events
- Implement performance benchmarking and validation

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q78-Q83):

NEW QUESTION # 78
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?

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 # 79
Which set of statements describes Quantized Congestion Notification?

Answer: C

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 # 80
An organization deploys a new AI training fabric that uses RoCEv2 for GPU communication. The network architect designs the QoS configuration to ensure reliable RDMA transport and must meet these requirements:
- Support 256 GPU servers with RDMA connectivity.
- Prevent any packet loss that causes RDMA connection failures.
- Maintain consistent low-latency communication with a target of less
than 10 microseconds.
- Use industry-standard protocols and configurations.
Which configuration ensures that RoCEv2 operates as a lossless transport?

Answer: A

Explanation:
RoCEv2 requires lossless Ethernet behavior to prevent packet drops that can disrupt RDMA communication. Enabling Priority Flow Control on the traffic class carrying RoCEv2 packets allows Ethernet pause behavior for that priority, helping maintain reliable, low-latency RDMA transport across the AI training fabric.


NEW QUESTION # 81
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?

Answer: A

Explanation:
Fleet management in Cisco Intersight is used to manage and deploy workloads consistently across many distributed compute resources. It supports scalable operations such as OS installation, configuration, and policy-driven deployment across multiple servers and locations, making it the correct feature for large distributed AI workload environments.


NEW QUESTION # 82
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?

Answer: C

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 # 83
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