Pass Guaranteed Quiz 2026 Pass-Sure Cisco 300-640: Implementing Cisco Data Center AI Infrastructure Exam Dumps Collection

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Cisco 300-640 Exam Syllabus Topics:

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

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q37-Q42):

NEW QUESTION # 37
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.)

Answer: B,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 # 38
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?

Answer: D

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 # 39
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 # 40
When considering a rail-only network design, when would adding spine switches make sense?

Answer: A

Explanation:
In a rail-only design, each scalable unit provides optimized east-west GPU communication within that unit. Spine switches are added when the design must scale beyond a single scalable unit and support traffic between multiple scalable units while preserving predictable performance for larger AI training environments.


NEW QUESTION # 41
A nationwide grocery chain has deployed Unified Edge to all its locations. Each store has 10 or more surveillance cameras that write approximately 1 Gb per hour. The surveillance retention policy requires maintaining 2 weeks of recording per camera. Which type of cost-effective centralized storage solution must be evaluated with Unified Edge devices to adhere to this policy?

Answer: D

Explanation:
Unified Edge deployments that need centralized, cost-effective retention for large surveillance data volumes should evaluate IP-based shared storage. It provides scalable network-accessible capacity for multiple edge devices without requiring specialized Fibre Channel or InfiniBand infrastructure, making it appropriate for distributed video retention workloads.


NEW QUESTION # 42
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