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Cisco 300-640 Exam Questions

Exam Name: Cisco Implementing Cisco Data Center AI Infrastructure Exam
Exam Code: 300-640 DCAI
Related Certification(s):
  • Cisco Certified Network Professional CCNP Certifications
  • Cisco Certified Network Professional Data Center CCNP Data Center Certifications
Certification Provider: Cisco
Actual Exam Duration: 90 Minutes
Number of 300-640 practice questions in our database: 60 (updated: Oct. 14, 2026)
Expected 300-640 Exam Topics, as suggested by Cisco :
  • Topic 1: AI Fundamentals and Applications: Covers foundational AI/ML concepts, the AI lifecycle, use cases, infrastructure types, environment components, and Cisco's AI solutions.
  • Topic 2: AI infrastructure Components and Architecture: Covers evaluating network, compute, storage, power/sustainability, and hybrid cloud considerations for AI infrastructure design.
  • Topic 3: AI infrastructure Deployment and Data Management: Covers configuring Cisco networking, compute/storage, and orchestration tools to deploy AI-ready infrastructure and fabrics.
  • Topic 4: AI infrastructure Operations and Troubleshooting: Covers benchmarking, monitoring, and troubleshooting AI infrastructure to ensure reliability and performance.
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Nasrin Ali

14 days ago
Questions on components and architecture usually ask you to identify which element handles orchestration, storage locality, or network fabric in a diagram a colleague took the exam and passed but found the diagram-based mapping questions surprisingly subtle. Understand the roles of inference servers, orchestration layers, accelerators, and data paths so you can reason about bottlenecks instead of memorizing terms.
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Laura Carter

29 days ago
The 300-640 exam leaned heavily on mapping AI fundamentals to real data center use cases, so I spent time tying model workflows to what actually runs on the fabric. I passed after drilling scenario questions instead of memorizing definitions.
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Thi Sato

2 months ago
AI fundamentals and applications often show up as scenario questions comparing model types or selecting inference patterns for a specific use case I sat the exam and passed, and the tricky part was knowing when latency constraints force you to choose smaller models. Study model characteristics, evaluation metrics, and trade-offs between accuracy and performance, and thanks Pass4Success for their focused question collection that helped me prepare quickly.
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Free Cisco 300-640 Exam Actual Questions

Note: Premium Questions for 300-640 were last updated On Oct. 14, 2026 (see below)

Question #1

Which function is provided through natural language processing?

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Correct Answer: B

Question #2

A company is building a network fabric for an AI training cluster that will train large language models. The cluster includes 256 GPUs distributed across 32 servers. Security requirements mandate isolation between different training projects and allowing shared access to a central storage system.

Which approach provides the required security isolation and maintains optimal performance for GPU-to-GPU communication?

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Correct Answer: B

Question #3

What does workload distribution offer in an AI infrastructure with local and external resources?

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Correct Answer: C

Question #4

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?

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Correct Answer: B

Question #5

Which type of Cisco Intersight profile, when deployed to fabric interconnects, includes the configuration settings for ports, VLANs, and VSANs?

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Correct Answer: C

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