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Instant Download Cisco : 300-640 Questions & Answers as PDF & Test Engine

300-640
  • Exam Code: 300-640
  • Exam Name: Implementing Cisco Data Center AI Infrastructure
  • Updated: Jul 26, 2026
  • No. of Questions: 82 Questions and Answers
  • Download Limit: Unlimited
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Cisco 300-640 Exam Syllabus Topics:

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

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are:
- high availability of the chassis management plane.
- support for up to 768 GB of memory for in-memory model storage and
processing
- remote server launch requiring no on-site IT staff
- use of Cisco Intersight for SaaS-based infrastructure lifecycle
management
Which solution meets the requirements?

A) Cisco UCS C240 Servers
B) Cisco UCS X-Series Direct
C) Cisco UCS C845A M8 Server
D) Cisco Unified Edge


2. An engineer notices excessive broadcast traffic inside a legacy AI server VLAN. Which technology should be implemented to reduce flooding and improve scalability?

A) PAT
B) GRE tunneling
C) RIP
D) VXLAN EVPN


3. 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) port policy
B) Ethernet network group
C) network connectivity policy
D) LAN connectivity policy


4. Drag and Drop Question

Refer to the exhibit. When a new AI backend network that supports Cisco UCS-based GPU servers with NVIDIA Connect-X network adapters is benchmarked, the traffic distribution observed has unacceptable variability across the interfaces. Drag and drop the code snippets from the bottom onto the boxes in the code to configure the switch to resolve the issue.


5. A network engineer is deploying an AI training fabric using Cisco Nexus switches with RoCEv2 enabled. During testing, packet drops occur when traffic bursts exceed buffer capacity. Which feature should be configured to minimize congestion and improve lossless Ethernet performance for GPU traffic?

A) DHCP Snooping
B) Storm Control
C) Priority Flow Control
D) BPDU Guard


Solutions:

Question # 1
Answer: D
Question # 2
Answer: D
Question # 3
Answer: A
Question # 4
Answer: Only visible for members
Question # 5
Answer: C

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