Cisco 300-640 Exam : Implementing Cisco Data Center AI Infrastructure

Cisco 300-640 exam
  • Exam Code: 300-640
  • Exam Name: Implementing Cisco Data Center AI Infrastructure
  • Updated: Oct 11, 2026
  • Q & A: 82 Questions and Answers
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About Cisco 300-640 Exam Questions

How do you prepare for the Cisco Implementing Cisco Data Center AI Infrastructure exam without burning weeks on the wrong material? VerifiedDumps answers that with 82+ Q&As covering the 300-640 objectives, updated for 2026 and built on the basis of the real exam.

Cisco 300-640 Exam Overview:

Certification Vendor:Cisco
Exam Name:Implementing Cisco Data Center AI Infrastructure
Exam Number:300-640 DCAI
Certificate Validity Period:3 years
Related Certifications:Cisco Certified Specialist - Data Center AI Infrastructure
CCNP Data Center
Real Exam Qty:55-65
Exam Price:USD 300
Exam Duration:90 minutes
Available Languages:English
Passing Score:Variable (approx. 750-850 out of 1000)
Exam Format:Simulation, Multiple choice, Drag and drop, Multiple select
Recommended Training:Implementing and Operating Cisco Data Center Core Technologies (DCCOR)
Implementing Cisco Data Center AI Infrastructure (DCAI) Training
Exam Registration:Cisco Official Exam Registration
Sample Questions:Free Download Pass 300-640 Exam Cram
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No formal prerequisites; recommended: knowledge of Cisco UCS, Nexus switching, and data center core technologies; 3–5 years of data center experience
Official Syllabus URL:https://www.cisco.com/site/us/en/learn/training-certifications/exams/dcai.html

Cisco 300-640 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
Topic 2: AI Infrastructure Deployment and Data Management30%- Integrate AI frameworks and applications with Cisco infrastructure
- Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics
- Implement data management and lifecycle for AI workloads
- Configure compute and storage using Cisco UCS: profiles, policies, Intersight
- Deploy and manage AI infrastructure with orchestration tools
Topic 3: AI Infrastructure Components and Architecture30%- Evaluate hybrid and multi-cloud AI integration
- Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS
- Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability
- Evaluate power, cooling, and efficiency requirements
- Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures
Topic 4: AI Infrastructure Operations and Troubleshooting20%- Implement performance benchmarking and validation
- Troubleshoot network, compute, storage, and orchestration issues
- Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts
- Optimize performance, security, and reliability
- Manage health, logs, and events

Cisco 300-640: What You Need to Ask First

No formal prerequisites; recommended: knowledge of Cisco UCS, Nexus switching, and data center core technologies; 3–5 years of data center experience These requirements are set by Cisco and can change, so confirm the current rules on the official exam page: https://www.cisco.com/site/us/en/learn/training-certifications/exams/dcai.html before registering for the Cisco Implementing Cisco Data Center AI Infrastructure exam.

Delivery is instant: your 300-640 product is emailed within one minute of payment — download the attachment and start. If nothing arrives within 2 hours, check spam and contact support for an immediate resend. On failure: sit the corresponding 300-640 exam within 60 days of purchase, submit a scanned enrollment slip and the official Score Report PDF within 2 days after the exam, and the refund completes within 7 days. The policy covers the corresponding exam only; attempts within 3 days of purchase, exams never actually taken, free materials, and expired orders are excluded, and the candidate name must match the payer name. If you prefer, exchange your product for two free exam products of equal value and keep the update service on the original.

The exam is delivered via Online proctored or onsite at Pearson VUE test centers, so pick the option that fits you when booking.

The Cisco Implementing Cisco Data Center AI Infrastructure exam contains 55-65 questions within 90 minutes. The ratio is the real challenge — content alone does not finish the exam, pacing does. Run full timed sessions in the VerifiedDumps test engine until finishing early feels normal on the real 300-640 exam.

These are the vendor's recommended training options:

Training builds the theory; the 82 practice questions for the 300-640 exam from VerifiedDumps test it under real exam conditions.

Cisco spreads the Cisco Implementing Cisco Data Center AI Infrastructure syllabus over 4 areas, led by AI Infrastructure Deployment and Data Management (30%), AI Infrastructure Fundamentals (20%), AI Infrastructure Operations and Troubleshooting (20%). Study proportionally to those shares — the complete outline is in the section above this page.

The 300-640 exam is Cisco's official certification test — passing it earns the Cisco Certified Specialist - Data Center AI Infrastructure, Cisco Certified Network Professional (CCNP) Data Center credential at the Professional level. It measures practical IT ability objectively, which is why employers treat the Cisco Implementing Cisco Data Center AI Infrastructure certificate as a reliable signal — and why candidate numbers keep growing. It also relates to CCNP Data Center, Cisco Certified Specialist - Data Center AI Infrastructure, extending its value further.

Each Cisco Implementing Cisco Data Center AI Infrastructure attempt costs USD 300, with Variable (approx. 750-850 out of 1000) as the pass mark. A retake charges the full fee again, so the smart move is arriving overprepared. Practice with VerifiedDumps until your timed mock scores clear Variable (approx. 750-850 out of 1000) comfortably, then book the 300-640 exam once.

Yes — VerifiedDumps offers a free demo of the Cisco Implementing Cisco Data Center AI Infrastructure questions, including a part of the material, so you can download and judge before you decide. After purchase, 365 days of free updates are included; once the year ends, extend the update service at a 50% discount from your member zone.

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

Question #1

What is a purpose of Cisco AI PODs?

  • A. to provide a turnkey, full-stack infrastructure for AI training, fine-tuning, and inferencing
  • B. to offer a flexible AI infrastructure focused on inferencing workloads with optional training capabilities
  • C. to deliver modular AI hardware components that can be integrated with third-party software platforms
  • D. to enable AI lifecycle management through cloud-native software with hardware support limited to compute servers
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

An engineer must configure dynamic load balancing (DLB) on a Cisco Nexus 9000 Series Switch AI fabric using a CLI. Which configuration must be implemented for only the odd-numbered interfaces?

  • A. Create a DLB hardware profile and include the list of desired interfaces.
  • B. Exclude the desired interfaces from DLB with the interface level configuration of no dlb-interface.
  • C. Create a QoS policy that enables DLB and apply that policy to the relevant interfaces.
  • D. Under the relevant interface-level configuration, add the keyword dlb-interface.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #3

An end customer plans to deploy an AI fabric in a new data center. Their engineers are more familiar with CLI-based networks and require the capability to automate standardized configuration templates and monitor flows for the fabric. Which data center automation tool meets the requirements?

  • A. HyperFabric
  • B. Digital Network Architecture Center
  • C. Intersight
  • D. Nexus Dashboard
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for VerifiedDumps members. You can sign-up / login (it's free).

Question #4

Drag and Drop Question
A network engineer is designing congestion management for an AI cluster using RoCEv2 transport. Based on Cisco best practices, the engineer must understand how ECN and PFC work together to provide lossless Ethernet transport. Drag and drop the congestion management mechanisms from the left onto the corresponding descriptions on the right. Not all options are used.

Reveal Solution  Discussion  0

Correct Answer:

Question #5

A network operations team deploys HyperFabric AI and wants to monitor fabric health to proactively identify performance issues. The team must track metrics specifically relevant to AI training workloads. Which metric is most critical for identifying congestion issues that could impact AI training performance in a HyperFabric AI deployment?

  • A. spanning tree topology change notifications
  • B. BGP EVPN route count per leaf switch
  • C. PFC pause frame transmission rate per interface
  • D. VXLAN tunnel packet encapsulation rate
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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