300-640 DCAI: Implementing Cisco Data Center AI Infrastructure

By Cisco · Browse Mode
About the Exam

This exam covers designing, implementing, monitoring, and troubleshooting AI infrastructure for Cisco data center environments, including network, compute, storage, and orchestration solutions. It is associated with CCNP Data Center and is intended for IT professionals working with data center AI workloads. Passing demonstrates practical knowledge of core AI infrastructure concepts and operations in Cisco data center deployments.

Exam Topics

  • AI Fundamentals and Applications20%
  • AI Infrastructure Components and Architecture30%
  • AI Infrastructure Deployment and Data Management30%
  • AI Infrastructure Operations and Troubleshooting20%

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Last updated May 23, 2026 at 9:42 PM

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QuestionQ1

AI Infrastructure Components and Architecture

Which components form part of the HyperFabric AI solution?

Explanation

Cisco Nexus Hyperfabric AI is a cloud-managed, full-stack AI infrastructure that integrates Cisco UCS compute servers with NVIDIA GPUs, Cisco networking, and optional VAST Data storage. Its cloud-hosted controller manages the networking lifecycle.

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QuestionQ2

AI Infrastructure Operations and Troubleshooting

An engineer configures quality of service in a Cisco ACI fabric to connect VAST storage servers. Which attribute combination must be selected?

Explanation

VAST storage traffic in Cisco ACI uses an RDMA QoS class configured with Weighted Random Early Detection (WRED) and Explicit Congestion Notification enabled. ECN marks packets that would otherwise be dropped, supporting the required RoCEv2 congestion-handling behavior.

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QuestionQ3

AI Fundamentals and Applications

Which IP-based storage transport provides flow control between devices that are directly connected?

Explanation

NVMe/RoCE runs over RDMA over Converged Ethernet, which uses Priority Flow Control (PFC) for lossless Ethernet service between endpoints. NVIDIA documents that RoCE requires a form of flow control and that PFC is the normal, optimal mechanism.

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QuestionQ4

AI Infrastructure Deployment and Data Management

A large retail enterprise operates numerous compute resources across branch offices, enabling on-premises processing of AI workloads. Each workload and site requires a particular OS installation and configuration. To simplify workload management, configuration, and deployment at scale, which Cisco Intersight feature must be used?

Explanation

Cisco Intersight Fleet Management enables centralized, scalable deployment for remote and edge locations. It uses location profiles and blueprints to provide zero-touch provisioning of hardware and operating systems with the required site-specific configurations.

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QuestionQ5

AI Infrastructure Operations and Troubleshooting

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

Explanation

Cisco NX-OS configures the DLB-enabled port set in hardware profile dlb mode by using dlb-interface with the required interface list. Listing only the odd-numbered interfaces enables DLB only for those interfaces. Cisco Nexus 9000 Series NX-OS Unicast Routing Configuration Guide — Configure Dynamic Load Balancing

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Topics covered
AI Fundamentals and ApplicationsAI Infrastructure Components and ArchitectureAI Infrastructure Deployment and Data ManagementAI Infrastructure Operations and Troubleshooting
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