300-640 DCAI Dumps (V8.02) with Practice Questions: Prepare for the Exam with Confidence 2026

The 300-640 DCAI (Implementing Cisco Data Center AI Infrastructure) is a new exam for CCNP Data Center certification, which tests your knowledge of how AI and machine learning workloads impact data center design and daily operations. To prepare for your Cisco 300-640 exam, you can choose the latest dumps from DumpsBase. Our 300-640 dumps (V8.02), coming with 60 practice questions and answers, ensure that you can pass the Implementing Cisco Data Center AI Infrastructure (DCAI) certification exam successfully. These new questions and answers are designed to help you study more efficiently. Instead of wasting time on scattered information, you can use organized exam questions to review important concepts and become familiar with the exam style. Start with DumpsBase today. The newest 300-640 DCAI dumps (V8.02) are especially helpful, focused practice questions to improve your Implementing Cisco Data Center AI Infrastructure (DCAI) exam performance.

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1. Which function is provided through natural language processing?

compression of large configuration files for storage efficiency

automated conversion of spoken or written content into structured data

annotation of data transmission protocols for device authorization

filtration of duplicate entries from transaction records

2. An Intersight administrator plans to deploy new server solutions to several small branch offices across the country. Each location needs at least one chassis. The servers must have redundant CPUs, memory, and 200 Gbps of unified fabric connectivity per compute node.

Which hybrid AI compute solution meets the requirements?

Cisco UCS S3260

Cisco UCS X-Direct

Cisco UCSXE Unified Edge

Cisco UCS C885A M8

3. A medical company has existing third-party AI servers and NVMe storage, but they want to purchase Cisco network switches with a cloud managed feature for simplicity.

Which solution best meets the requirements?

Bring Your Own AI (BYO AI) HyperFabric with Cisco 6000 Series Switches and Essentials license

Bring Your Own AI (BYO AI) HyperFabric with Cisco 6000 Series Switches and Premier license

Nexus Dashboard with Nexus 9000 Series Switches and Cloud license

HyperFabric AI with Cisco 6000 Series Switches and Premier license

4. What describes inference traffic patterns in AI deployments?

optimizes data storage solutions for data lakes

simplifies complex neural network architectures

provides real-time decision making

eliminates the need for data preparation

5. What is a primary behavior that occurs during the model training stage of the AI lifecycle?

embedding the model into systems with APIs

establishing success criteria

adjusting internal weights and biases

detecting model drift

6. 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?

Deploy separate physical networks for each project with dedicated switches and cross-connects to shared storage.

Use VXLAN with separate VNIs per project and Group Policy Option to control granular access to shared storage.

Implement port-based VLANs for each project with router ACLs controlling storage access at the distribution layer.

Configure QoS-based traffic steering with separate DSCP markings per project and policy-based routing to shared storage.

7. A medium-sized breadmaking operation must deploy a fleet of GPU servers that meet these requirements for their flagship application: policy managed through cloud-based interface low latency between specific pairs of GPUs at least 2 GPUs per server all GPUs should be same model Intel CPU - well suited for Inferencing customer is power conscious

Which server meets the requirements?

C245 M8

X210C M8 with x580 PCIe node

C845A M8

C885A M8

8. A company deploys a Cisco UCS environment to host AI inferencing workloads that demand low latency, high throughput, and efficient resource utilization.

Which set of actions must be taken to deploy a high-performance fabric within the Cisco UCS infrastructure?

Deploy a Cisco MDS 9000 Series Switch for Fibre Channel connectivity to storage. Use a Cisco Fabric Interconnect for management traffic only.

Connect UCS servers to a Cisco Nexus 3000 Series Switch using 100 Gb Ethernet. Configure a separate management network using a dedicated Cisco Catalyst switch.

Use a single Cisco Fabric Interconnect in a standalone configuration. Connect all UCS servers directly to it using 10 Gb Ethernet.

Implement a dual-fabric design with two Cisco Fabric Interconnects, and use 100 Gb Ethernet for server-to-fabric connectivity. Configuring port channels for uplink connections.

9. What is the process involved in workload scheduling for AI environments?

assignment of tasks to compute elements for optimized performance

optimization of licensing structures for compliance

aggregation of device statistics for reporting

generation of backup images for restoration operations

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

isolation of analytic functions within remote processing clusters

distribution of computational tasks across multiple locations

restriction of automation to local storage and performance measures

enforcement of fixed security policies on distribution endpoints

11. A financial company plans to deploy an AI training and inference infrastructure to support its customers. The team must use a solution that provides 96 GPUs, aligns with NVIDIA-compliant reference architectures, and enables cloud-based management of the entire on-premises network environment.

Which Cisco solution meets the requirements?

Cisco HyperFabric AI Small AI Cluster with Cisco 6000 switches and AI servers on premises

Cisco HyperFabric AI Medium AI Cluster with Cisco 6000 switches and AI servers on premises

Cisco Nexus Dashboard deployed in AWS or Azure with Nexus 9000 switches and AI servers on premises

Cisco Intersight AI fabric with Nexus 9000 switches and AI servers on premises

12. A global enterprise is deploying a new AI-driven analytics platform that requires high-performance GPU acceleration, large memory capacity, and robust virtualization support. The current compute environment must co-exist with the newly purposed GPU-enabled workload. This environment will continue to grow, so the customer wants to scale out the resources as needed.

Which Cisco product meets the requirements?

UCS X-series

UCS M-series

Unified Edge

UCS C-series Standalone

13. A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are: high availability of the chassis management plane. support for up to 768 GB of memory for in-memory model storage and processing remote server launch requiring no on-site IT staff use of Cisco Intersight for SaaS-based infrastructure lifecycle management

Which solution meets the requirements?

Cisco UCS C845A M8 Server

Cisco UCS X-Series Direct

Cisco Unified Edge

Cisco UCS C240 Servers

14. Which network design approach should be used to build a high-performance, nonblocking AI/ML data center fabric that supports 64 fully equipped UCS C885A nodes and provides the lowest possible latency and lossless Ethernet?

leaf-spine

flat Layer 2

rail optimized

traditional three-tier

15. Which set of statements describes Quantized Congestion Notification?

Priority Flow Control reacts first to mitigate congestion, and Explicit Congestion Notification acts as a fail-safe to prevent traffic drops if Priority Flow Control is insufficient. A congestion notification packet sent toward the source by a network switch in response to receiving Explicit Congestion Notification with congestion experienced bits set.

Explicit Congestion Notification reacts first to mitigate congestion, and Priority Flow Control acts as a fail-safe to prevent traffic drops if Explicit Congestion Notification is insufficient. A congestion notification packet sent toward the source by hosts and the network switch in response to receiving Explicit Congestion Notification with congestion experienced bits set.

Explicit Congestion Notification reacts first to mitigate congestion, and Priority Flow Control acts as a fail-safe to prevent traffic drops if Explicit Congestion Notification is insufficient. A congestion notification packet sent toward the source by a host in response to receiving Explicit Congestion Notification with congestion experienced bits set.

Priority Flow Control reacts first to mitigate congestion, and Explicit Congestion Notification acts as a fail-safe to prevent traffic drops if Priority Flow Control is insufficient. A congestion notification packet sent toward the source by hosts and the network switch in response to receiving Explicit Congestion Notification with congestion experienced bits set.

16. An engineer deploys an AI fabric on Cisco Nexus 9000 Series Switches connected to Cisco UCS nodes with NVIDIA GPUs. The requirements call for optimal network performance for training workloads. Adaptive routing is enabled on the NICs, and per-packet load balancing is enabled on the switches.

Which other configuration must be implemented for this integration to be fully operational?

Add the “adaptive-routing” keyword under the switch load balancing configuration.

Set the cisco_dlb=1 option in the NIC configuration so the NIC knows it can use adaptive routing.

Include switch configuration “hardware profile spectrum-x” in global configuration mode.

Include matching statements in your QoS policy so the switch knows which incoming packets to load balance.

17. Which aspect of rapid provisioning supports a scalable workload execution in an AI infrastructure?

distinct management for isolated components

limited connectivity within isolated locations

delayed rollout of new network resources

efficient launch of computational platforms

18. Which result is provided through image recognition using AI?

anonymization of audit trails for compliance objectives

detection and labeling of visual elements from digital sources

scheduling of management tasks during maintenance periods

routing of multicast messages across network boundaries

19. An organization deploys a new AI training fabric that uses RoCEv2 for GPU communication. The network architect designs the QoS configuration to ensure reliable RDMA transport and must meet these requirements: Support 256 GPU servers with RDMA connectivity.

Prevent any packet loss that causes RDMA connection failures.

Maintain consistent low-latency communication with a target of less than 10 microseconds.

Use industry-standard protocols and configurations.

Which configuration ensures that RoCEv2 operates as a lossless transport?

Implement traffic shaping to smooth RDMA traffic bursts and prevent congestion.

Enable Priority Flow Control on the traffic class carrying RoCEv2 packets.

Set the RDMA traffic to use the highest DSCP value to ensure priority forwarding.

Configure weighted fair queuing to prioritize RDMA traffic over other traffic classes.

20. How does RAG enhance the capabilities of LLMs?

by removing the data preparation and cleaning step

by removing inherent biases from LLM outputs

by providing access to proprietary data

by retaining the LLM by altering its core parameters

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