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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: Compute and Storage for AI Infrastructure	- Compute architecture 1. GPU-based compute nodes 2. HPC-style scaling considerations - Storage systems 1. High-throughput storage for AI training data 2. Distributed storage concepts
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. Leaf-spine architecture in AI environments 2. Low-latency switching and routing considerations
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: Data Center AI Infrastructure Fundamentals	- AI/ML workload requirements in data centers 1. Compute, GPU, and acceleration concepts 2. Data pipeline and workload characteristics

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300-640 Quiz Torrent: Implementing Cisco Data Center AI Infrastructure - 300-640 Exam Guide & 300-640 Test Bootcamp

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q71-Q76):

NEW QUESTION # 71
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. Review the resource utilization of the AI workload (CPU, memory, and GPU) to identify potential bottlenecks and optimize resource allocation.
D. Check the power supply status and power consumption of the UCS server using UCS Manager to ensure that the server has sufficient power.

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 # 72
An administrator configures VXLAN EVPN in a Cisco AI data center fabric. The requirement is to provide Layer 2 adjacency across multiple leaf switches while maintaining scalable control-plane learning. Which protocol fulfills this function?

A. BGP EVPN
B. HSRP
C. STP
D. OSPF

Answer: A

NEW QUESTION # 73
An engineer deploys an AI fabric on Cisco Nexus 9000 Series Switches connected to Cisco UCS nodes with NVIDIA GPUs. The requirements call for optimal network performance for training workloads. Adaptive routing is enabled on the NICs, and per-packet load balancing is enabled on the switches. Which other configuration must be implemented for this integration to be fully operational?

A. Set the cisco_dlb=1 option in the NIC configuration so the NIC knows it can use adaptive routing.
B. Include matching statements in your QoS policy so the switch knows which incoming packets to load balance.
C. Add the "adaptive-routing" keyword under the switch load balancing configuration.
D. Include switch configuration "hardware profile spectrum-x" in global configuration mode.

Answer: A

Explanation:
The NIC must be explicitly configured with the Cisco dynamic load-balancing setting so it recognizes that the connected Cisco Nexus fabric supports adaptive routing. This completes the integration between NIC-side adaptive routing and switch-side per-packet load balancing for optimized AI training traffic.

NEW QUESTION # 74
A network architect designs connectivity for a new Cisco AI POD operating in Intersight Managed Mode. To ensure high availability and aggregate bandwidth for external network traffic, a port channel must be established using multiple 100 GbE uplink ports on the fabric interconnects to connect to the upstream core switch infrastructure. Which specific policy, applied through the domain profile, must be modified to define and configure this port channel on the fabric interconnects for the desired uplink connectivity?

A. LAN connectivity policy
B. network connectivity policy
C. Ethernet network group
D. port policy

Answer: D

Explanation:
In Cisco Intersight Managed Mode, fabric interconnect port roles and uplink port channels are defined in the port policy associated with the UCS domain profile. Modifying the port policy allows the engineer to configure multiple 100 GbE uplink ports as a port channel for aggregated bandwidth and high availability toward the upstream network.

NEW QUESTION # 75
A network engineer logs into Nexus Dashboard and sees an anomaly showing that a BGP peer connection has gone down. Next to the anomaly, a yellow bubble displays "Correlated." What does Nexus Dashboard indicate by "Correlated" in this case?

A. It indicates that this anomaly is a result of a higher-level root anomaly.
B. It indicates that the Nexus Dashboard has seen this anomaly across more than one device in the fabric.
C. It indicates that the Nexus Dashboard has correlated the scope of the impact.
D. It indicates that the Nexus Dashboard has correlated this anomaly to activity by specific user account.

Answer: A

Explanation:
In Nexus Dashboard, a correlated anomaly means the displayed issue is associated with a higher-level root anomaly. The BGP peer-down event is being treated as a resulting or related symptom rather than the primary root cause, helping operators focus troubleshooting on the upstream issue first.

NEW QUESTION # 76
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