In an AI cluster, how does RDMA contribute to improved performance during distributed training?

By increasing the bandwidth of the network link

By reducing the amount of data that needs to be transferred

By lowering latency and reducing CPU load during data transfers

By compressing the data before transmission

A system administrator is setting up a new GPU server for AI training. The server will communicate with other servers using RDMA over a RoCEv2 network. The administrator needs to ensure the RDMA traffic is not impacted by regular TCP/IP traffic on the same network. What is the most effective way to achieve this?

Configure Quality of Service (QoS) to prioritize RDMA traffic over TCP/IP traffic

Increase the MTU size on the network interface

Use a separate physical network for RDMA traffic

Disable TCP/IP on the network interface used for RDMA

What is the primary benefit of using RDMA (Remote Direct Memory Access) in AI network communication?

It reduces the need for high-speed storage devices.

It increases the clock speed of the CPU.

It allows data to be transferred directly between the memory of two systems without CPU involvement.

It encrypts all data in transit.

A university is building a shared AI research cluster. The cluster will be used by different research groups with varying needs. Some groups run tightly coupled MPI-based training jobs, while others run data-parallel jobs that are more tolerant of network latency. The university has a limited budget and wants to maximize performance for the tightly coupled jobs. Which network design is most appropriate?

A single, cost-effective Ethernet fabric for all jobs

A single, high-performance InfiniBand fabric for all jobs

A single Ethernet fabric with RoCEv2 for all jobs

A dual-fabric design: a small InfiniBand fabric for tightly coupled jobs and a larger Ethernet fabric for other jobs

A performance engineer is benchmarking a distributed AI training job. They observe that the network latency between two nodes is 10 microseconds. After enabling RDMA, the latency drops to 2 microseconds. What is the primary reason for this dramatic improvement?

RDMA prioritizes network traffic, ensuring it is sent before other traffic

RDMA reduces the number of data copies and kernel interactions in the data path

RDMA compresses the data before transmission, reducing the amount of data sent

RDMA uses a faster physical medium than standard Ethernet

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Domain 4Objective 3

Describe Network Architecture Used with AI Workloads (Ethernet vs Infiniband, RDMA, GPUDirect Storage) CERTIFIED-AI-EXPERT Practice Questions (Page 3)

Part of the AI Hardware Architectures domain, which accounts for 18% of the CERTIFIED-AI-EXPERT exam. NetApp does not publish an official question count, but from its 90-minute exam (~35–60 total, ~6–11 in this domain), expect 1–2 from this objective — we provide 20 practice questions to prepare you well beyond it. (estimate)

20questions here

4free pages

3concepts

18%of the exam

Questions 11–15

11foundation · easy
In an AI cluster, how does RDMA contribute to improved performance during distributed training?
Select an answer first
12application · medium
A system administrator is setting up a new GPU server for AI training. The server will communicate with other servers using RDMA over a RoCEv2 network. The administrator needs to ensure the RDMA traffic is not impacted by regular TCP/IP traffic on the same network. What is the most effective way to achieve this?
Select an answer first
13foundation · easy
What is the primary benefit of using RDMA (Remote Direct Memory Access) in AI network communication?
Select an answer first
14expert · hard
A university is building a shared AI research cluster. The cluster will be used by different research groups with varying needs. Some groups run tightly coupled MPI-based training jobs, while others run data-parallel jobs that are more tolerant of network latency. The university has a limited budget and wants to maximize performance for the tightly coupled jobs. Which network design is most appropriate?
Select an answer first
15application · medium
A performance engineer is benchmarking a distributed AI training job. They observe that the network latency between two nodes is 10 microseconds. After enabling RDMA, the latency drops to 2 microseconds. What is the primary reason for this dramatic improvement?
Select an answer first

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Describe Network Architecture Used with AI Workloads (Ethernet vs Infiniband, RDMA, GPUDirect Storage) CERTIFIED-AI-EXPERT Practice Questions (Page 3)

Questions 11–15

In an AI cluster, how does RDMA contribute to improved performance during distributed training?

What is the primary benefit of using RDMA (Remote Direct Memory Access) in AI network communication?

A performance engineer is benchmarking a distributed AI training job. They observe that the network latency between two nodes is 10 microseconds. After enabling RDMA, the latency drops to 2 microseconds. What is the primary reason for this dramatic improvement?

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