A data science team needs a validated, pre-integrated AI infrastructure stack that includes compute, storage, networking, and AI software to accelerate the deployment of large-scale deep learning workloads. Which architecture is specifically designed for this purpose?

A traditional hyperconverged infrastructure (HCI) cluster

A standard rack of GPU servers with local NVMe drives

Which workload is a primary use case for NVIDIA OVX architecture?

Providing network-attached storage (NAS) for a small office

Batch processing of large log files using map-reduce

Hosting a relational database for an e-commerce website

Real-time ray tracing and photorealistic rendering for product design

When comparing NetApp BasePod and NVIDIA OVX, which scenario is best suited for OVX?

Creating a digital twin of a city for urban planning simulations

Storing and serving video files for a streaming platform

Running a web application with a small user base

Training a large language model on a massive dataset

Which of the following is a primary use case for NetApp BasePod architecture?

Providing a virtual desktop infrastructure (VDI) for office workers

Running a small database for a departmental application

Running large-scale deep learning training jobs that require high-throughput, low-latency storage

Hosting a simple static website with minimal compute requirements

A government agency needs to deploy an AI system for predictive maintenance of critical infrastructure. The system must analyze sensor data to predict failures, and it must also create 3D simulations of the infrastructure for training purposes. The agency has strict data sovereignty requirements and cannot use public cloud. Which architecture should they choose?

Deploy both NetApp BasePod and NVIDIA OVX on-premises

Deploy only NVIDIA OVX on-premises

Deploy only NetApp BasePod on-premises

NetAppCertified AI Expert

Domain 4Objective 7

Describe the Use Cases for BasePod and OVX Architectures 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 7 practice questions to prepare you well beyond it. (estimate)

7questions here

2free pages

3concepts

18%of the exam

Questions 1–5

1foundation · easy
A data science team needs a validated, pre-integrated AI infrastructure stack that includes compute, storage, networking, and AI software to accelerate the deployment of large-scale deep learning workloads. Which architecture is specifically designed for this purpose?
Select an answer first
2foundation · easy
Which workload is a primary use case for NVIDIA OVX architecture?
Select an answer first
3foundation · easy
When comparing NetApp BasePod and NVIDIA OVX, which scenario is best suited for OVX?
Select an answer first
4foundation · easy
Which of the following is a primary use case for NetApp BasePod architecture?
Select an answer first
5expert · hard
A government agency needs to deploy an AI system for predictive maintenance of critical infrastructure. The system must analyze sensor data to predict failures, and it must also create 3D simulations of the infrastructure for training purposes. The agency has strict data sovereignty requirements and cannot use public cloud. Which architecture should they choose?
Select an answer first

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