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Cisco 300-640 Exam Syllabus Topics:

Section	Objectives
Topic 1: AI Infrastructure Deployment and Operations	- Operations and lifecycle management 1. Monitoring and observability 2. Performance tuning and optimization - Deployment models 1. Hybrid AI infrastructure integration 2. On-premises AI clusters
Topic 2: Data Center AI Infrastructure Fundamentals	- AI/ML workload requirements in data centers 1. Compute, GPU, and acceleration concepts 2. Data pipeline and workload characteristics
Topic 3: Data Center Networking for AI Workloads	- Cisco Data Center networking technologies 1. Cisco ACI integration concepts 2. Cisco Nexus platform concepts - High-performance fabric design 1. Low-latency switching and routing considerations 2. Leaf-spine architecture in AI environments
Topic 4: Security and Governance in AI Data Centers	- Infrastructure security 1. Network segmentation and policy enforcement 2. Secure access to AI workloads
Topic 5: Compute and Storage for AI Infrastructure	- Compute architecture 1. HPC-style scaling considerations 2. GPU-based compute nodes - Storage systems 1. High-throughput storage for AI training data 2. Distributed storage concepts

>> Valid 300-640 Exam Topics <<

Implementing Cisco Data Center AI Infrastructure valid torrent & 300-640 study guide & Implementing Cisco Data Center AI Infrastructure free torrent

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q55-Q60):

NEW QUESTION # 55
A network administrator configures RDMA over Converged Ethernet version 2 (RoCEv2). Which transport protocol does RoCEv2 use at Layer 4?

A. SCTP
B. TCP
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 # 56
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 hosts and the 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 hosts and the network switch 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 a 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 a host in response to receiving Explicit Congestion Notification with congestion experienced bits set.

Answer: D

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 # 57
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. Examine the storage configuration, including the RAID configuration and disk health, to ensure that the storage subsystem is not causing latency issues.
C. Check the power supply status and power consumption of the UCS server using UCS Manager to ensure that the server has sufficient power.
D. Review the resource utilization of the AI workload (CPU, memory, and GPU) to identify potential bottlenecks and optimize resource allocation.

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 # 58
A Cisco AI infrastructure requires fast convergence after a spine switch failure. Which routing design principle best supports this objective?

A. Layer 2 loop dependency
B. Single-path forwarding
C. Static route redistribution
D. Equal-cost multipath routing

Answer: D

Explanation:
ECMP provides multiple active forwarding paths and enables rapid failover when a path becomes unavailable. AI environments benefit from resilient high-bandwidth forwarding. Static redistribution slows operational flexibility, while single-path forwarding and Layer 2 dependency reduce scalability and convergence efficiency.

NEW QUESTION # 59
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. Local NVMe SSDs within each GPU server
B. NetApp All-Flash FAS (AFF)
C. VAST Data Universal Storage
D. Pure Storage FlashBlade

Answer: C

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 # 60
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