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

Cisco's official exam topics for 300-640 DCAI split the content into four domains. AI Fundamentals and Applications (20%) covers AI workload types such as RAG, training, inference, and generative AI, the AI lifecycle, and where infrastructure sits across cloud, hybrid, on-premises, and edge deployments, including Cisco's own AI PODs, AI Canvas, and Hyperfabric AI offerings. AI Infrastructure Components and Architecture (30%) and AI Infrastructure Deployment and Data Management (30%) together make up 60% of the exam and dig into evaluating network, compute, and storage deployments for AI workloads, high-performance fabric configuration with Ultra Ethernet and RoCEv2, scaling Cisco UCS clusters, and orchestration through Nexus Dashboard, APIC, Hyperfabric, and Intersight. AI Infrastructure Operations and Troubleshooting (20%) closes out the blueprint with performance benchmarking, telemetry, and using Cisco Nexus Dashboard Insights to mitigate congestion and troubleshoot fabric health. This 400-question practice bank is weighted to match that 20/30/30/20 split, so the two architecture-and-deployment domains that drive most of the exam get proportionally the most practice reps.

On test day, 300-640 DCAI runs 90 minutes at a Pearson VUE testing center or via online proctoring, at a cost of $300 USD. Cisco does not publish an exact question count or a fixed numeric passing score for its certification exams, and 300-640 is no exception; third-party prep providers who have sat the exam commonly report roughly 55 to 65 questions, and Cisco's own scoring documentation for its exam family describes a scaled result typically landing in the 750-to-850-out-of-1000 range to pass, which is consistent with the passing bar used across other CCNP concentration exams. Format leans heavily on scenario and drag-and-drop item types over simple recall, reflecting the applied, architecture-and-operations nature of the blueprint. Passing earns 40 Continuing Education (CE) credits toward recertifying other active Cisco certifications, and the resulting credential itself is valid for three years. Because Cisco keeps its exact scoring rubric confidential across its whole certification catalog, treat any specific number you see quoted online as a well-informed estimate from experienced test-takers rather than an officially confirmed figure, and focus your prep on consistent accuracy across all four domains rather than chasing a precise score target.

300-640 DCAI is a concentration exam: pairing it with the 350-601 DCCOR core exam earns the Cisco Certified Specialist – Data Center AI Infrastructure credential, and on its own it also satisfies the concentration-exam requirement for the CCNP Data Center certification, sitting alongside DCID, DCIT, DCACI, and DCNAUTO as one of five concentration options. Cisco recommends its AI Solutions on Cisco Infrastructure Essentials (DCAIE) and Operate and Troubleshoot AI Solutions on Cisco Infrastructure (DCAIAOT) courses as preparation, though neither is a formal prerequisite; working familiarity with Cisco UCS compute, the Nexus switching portfolio, and core data center technologies from DCCOR is strongly advised before attempting it. Because this exam first became available on February 9, 2026, as part of Cisco's new 2026 AI infrastructure certification push, it is genuinely new territory for most candidates. Start with the 30 free questions, then work through the full 400-question bank domain by domain until your accuracy holds steady across all four areas.

The Implementing Cisco Data Center AI Infrastructure exam (300-640 DCAI) is Cisco's first certification built specifically around AI infrastructure inside the data center, rather than general networking, compute, or storage. It validates the ability to design, implement, monitor, and troubleshoot the network fabrics, GPU compute clusters, and storage systems that support AI workloads such as training, inference, retrieval-augmented generation (RAG), and generative AI at scale. The exam covers Cisco-specific technologies including Ultra Ethernet and RoCEv2 for high-performance, lossless networking; Cisco UCS for GPU-dense compute; and orchestration and observability tools like Nexus Dashboard, APIC, Hyperfabric AI, and Intersight.

Passing 300-640 DCAI on its own earns the Cisco Certified Specialist – Data Center AI Infrastructure certification. It also functions as one of five concentration exam options for the CCNP Data Center certification when paired with the 350-601 DCCOR core exam. The exam first became available for testing on February 9, 2026, making it part of Cisco's broader 2026 push to build out dedicated AI infrastructure credentials as enterprises scale GPU clusters and AI fabrics inside their existing Cisco data centers.

This exam targets network engineers, data center architects, systems engineers, and IT managers who design or operate the infrastructure underneath AI workloads, particularly those already working with Cisco Nexus switching, Cisco UCS compute, and ACI or Nexus Dashboard orchestration. It suits professionals who have been asked to scale their organization's data center to support GPU clusters, high-performance AI fabrics, or generative AI deployments and need to formalize that emerging skill set with a vendor credential.

It is also a strong fit for CCNP Data Center candidates choosing a concentration exam who want their credential to reflect current infrastructure demand rather than a legacy specialization, and for Cisco partners and field engineers who need to speak credibly with customers about AI infrastructure design. Because it is brand new, early candidates tend to be experienced Cisco data center professionals adding an AI specialization on top of existing DCCOR-level knowledge rather than newcomers to Cisco data center technology.

There is no formal, enforced prerequisite to register for 300-640 DCAI itself; anyone can book it through Pearson VUE. However, Cisco explicitly recommends its AI Solutions on Cisco Infrastructure Essentials (DCAIE) and Operate and Troubleshoot AI Solutions on Cisco Infrastructure (DCAIAOT) training courses as preparation, and both assume familiarity with core Cisco data center technology rather than teaching it from scratch. In practice, this means working knowledge of the Cisco UCS compute architecture, the Nexus switch portfolio, and the technologies covered by the 350-601 DCCOR core exam is strongly advised before attempting DCAI.

If you are pursuing the CCNP Data Center certification rather than only the standalone specialist credential, you must also pass 350-601 DCCOR (120 minutes, $400) as the required core exam; 300-640 DCAI alone only earns the Cisco Certified Specialist – Data Center AI Infrastructure credential. Candidates without a data center networking background should expect to spend meaningfully more prep time on foundational Nexus and UCS concepts before the AI-specific content in this exam will make sense.

The exam runs 90 minutes and costs $300 USD, taken at a Pearson VUE testing center or through online proctoring. Cisco does not publish an exact question count or a fixed numeric passing score for any of its certification exams, and 300-640 DCAI follows that same policy; third-party prep providers who have sat the exam report roughly 55 to 65 questions, and the scaled scoring model Cisco uses across its exam family is commonly cited in the 750-to-850-out-of-1000 range to pass, consistent with other 90-minute CCNP concentration exams like DCID and DCACI. Question formats mix standard multiple-choice with scenario-based and drag-and-drop items, weighted toward applied architecture and troubleshooting decisions rather than pure recall.

The certification earned by passing is valid for three years, and a pass also awards 40 Continuing Education (CE) credits that can be applied toward recertifying other active Cisco certifications. Because the exam launched February 9, 2026, community-sourced exam experience reports and score-breakdown data remain limited compared to long-established Cisco exams; treat any specific numbers from third-party sources as good-faith estimates rather than Cisco-confirmed figures until more candidates have tested.

The Cisco Certified Specialist – Data Center AI Infrastructure credential is a genuine first-mover opportunity: it is Cisco's first exam built specifically around AI infrastructure, launched February 9, 2026, so early holders can differentiate themselves in a market where most competing network engineers do not yet have a formal AI-infrastructure credential from any vendor. It targets roles such as AI infrastructure engineer, data center architect, and network engineer specializing in GPU fabric design, all of which are in growing demand as enterprises build out on-premises and hybrid infrastructure for training and inference workloads rather than relying solely on public cloud.

Because it also counts as a concentration exam toward CCNP Data Center, candidates can pursue it without sacrificing progress toward that broader, well-established certification; it simply lets them point that credential specifically at AI infrastructure work rather than a more general concentration like automation or ACI. As Cisco continues investing in AI-specific product lines (AI PODs, Hyperfabric AI, AI Canvas), being certified on the infrastructure that supports them is likely to become more valuable, not less, as adoption grows.