Free, original, no-dumps exam prep

Implementing Cisco Data Center AI Infrastructure (300-640 DCAI)

A Cisco specialist exam covering the design, implementation, monitoring, and troubleshooting of AI infrastructure across networking, compute, storage, orchestration, and hybrid environments.

Exam code
300-640 DCAI
Last reviewed
Reviewed by
AI Certs Reviewer Editorial Team

Independent resource: AI Certs Reviewer is not affiliated with or endorsed by Cisco. Practice content is original and is not copied from live certification exams.

Answer-first overview

What to know before you study

Use these concise answers as an orientation, then verify registration details on the official provider pages before paying.

What does this credential cover?

A Cisco specialist exam covering the design, implementation, monitoring, and troubleshooting of AI infrastructure across networking, compute, storage, orchestration, and hybrid environments.

Who is it for?

Data center, network, compute, storage, platform, and infrastructure professionals who design or operate AI-ready environments and want a Cisco specialist credential.

How should I prepare?

Start with the official objective map, study one domain at a time, test the same domain with original practice, and route every missed question back to a lesson or syllabus topic.

Exam snapshot

Current public exam facts

Credential path
Cisco Data Center AI Infrastructure specialist
Duration
90 minutes
Delivery
Pearson VUE test center or online when available
Published fee
USD 300, subject to regional checkout terms
Passing rule
No fixed raw passing percentage is published
Recertification cycle
3 years for Cisco specialist credentials

Administrative facts can change. The official provider and testing-vendor pages remain authoritative for prices, availability, policies, languages, and scheduling.

Official-objective map

Domains to study

Weights are shown only when the provider publishes them. They guide study time; they do not predict the exact mix on an individual exam form.

01

AI fundamentals and applications

AI workloads, lifecycle, use cases, infrastructure types, environment components, and Cisco AI solutions.

20%
02

Infrastructure components and architecture

Network, compute, storage, power or sustainability, and hybrid cloud choices for AI workloads.

30%
03

Deployment and data management

High-performance networks, Cisco UCS compute and storage, AI-ready fabrics, and orchestration tools.

30%
04

Infrastructure operations and troubleshooting

Benchmarks, monitoring, system messages, management tools, and troubleshooting workflows.

20%

Practical study route

Turn the blueprint into practice

  1. Read the four-domain blueprint and translate every verb into a design, configuration, monitoring, or troubleshooting task.
  2. Build comparison tables for network fabrics, compute or GPU platforms, storage, orchestration, and hybrid options.
  3. Practice original architecture scenarios and state which constraint makes one infrastructure choice better than another.
  4. Run mixed quizzes under time pressure and return each miss to the matching Cisco objective and lesson.