A data center is building a large-scale AI training cluster with 1000+ GPUs distributed across many racks. The training workload requires high bandwidth and low latency for inter-node communication. The budget is a major constraint, and the team is comparing InfiniBand and Ethernet. Which factor is the MOST important to consider when choosing between these two protocols?

The color of the network cables

The operating system of the servers

Bandwidth and latency requirements

NetAppCertified AI Expert

Domain 4Objective 5

Determine the Use Cases of Different Protocols CERTIFIED-AI-EXPERT Practice Questions (Page 1)

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 12 practice questions to prepare you well beyond it. (estimate)

12questions here

3free pages

3concepts

18%of the exam

Questions 1–5

1application · medium
A machine learning team is building a small cluster of 4 GPU servers for model prototyping. They need to share data between the servers and have a limited budget. Which protocol is the most cost-effective choice for this cluster?
Select an answer first
2application · medium
A data center is building a large-scale AI training cluster with 1000+ GPUs distributed across many racks. The training workload requires high bandwidth and low latency for inter-node communication. The budget is a major constraint, and the team is comparing InfiniBand and Ethernet. Which factor is the MOST important to consider when choosing between these two protocols?
Select an answer first
3foundation · easy
An AI inference cluster needs to connect many servers over a data center network. Which protocol selection criterion is most important to ensure cost-effective scalability?
Select an answer first
4foundation · easy
For a distributed AI training workload that requires extremely low latency and high bandwidth between GPU servers, which protocol is the most appropriate?
Select an answer first
5application · medium
A team is evaluating protocols for a new AI inference service that must handle a high volume of small, real-time requests. The service is deployed on a cluster of servers. Which protocol characteristic is the MOST important for this workload?
Select an answer first

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Determine the Use Cases of Different Protocols CERTIFIED-AI-EXPERT Practice Questions (Page 1)

Questions 1–5

A machine learning team is building a small cluster of 4 GPU servers for model prototyping. They need to share data between the servers and have a limited budget. Which protocol is the most cost-effective choice for this cluster?

An AI inference cluster needs to connect many servers over a data center network. Which protocol selection criterion is most important to ensure cost-effective scalability?

For a distributed AI training workload that requires extremely low latency and high bandwidth between GPU servers, which protocol is the most appropriate?

A team is evaluating protocols for a new AI inference service that must handle a high volume of small, real-time requests. The service is deployed on a cluster of servers. Which protocol characteristic is the MOST important for this workload?

Keep studying — AI Hardware Architectures