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NVIDIA-Certified Associate AI Infrastructure and Operations Question and Answers

NVIDIA-Certified Associate AI Infrastructure and Operations

Last Update Oct 15, 2025
Total Questions : 50

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Questions 1

When training a neural network, what is the most common pattern of storage access?

Options:

A.  

Random write

B.  

Sequential read

C.  

Sequential write

Discussion 0
Questions 2

Which GPUs should be used when training a neural network for self-driving cars?

Options:

A.  

NVIDIA H100 GPUs

B.  

NVIDIA L4 GPUs

C.  

NVIDIA DRIVE Orin

Discussion 0
Questions 3

Which two components are included in GPU Operator? (Choose two.)

Options:

A.  

Drivers

B.  

PyTorch

C.  

DCGM

D.  

TensorFlow

Discussion 0
Questions 4

For which workloads is NVIDIA Merlin typically used?

Options:

A.  

Recommender systems

B.  

Natural language processing

C.  

Data analytics

Discussion 0
Questions 5

Which solution should be recommended to support real-time collaboration and rendering among a team?

Options:

A.  

A cluster of servers with NVIDIA T4 GPUs in each server.

B.  

A DGX SuperPOD.

C.  

An NVIDIA Certified Server with RTX-based GPUs.

Discussion 0
Questions 6

How is the architecture different in a GPU versus a CPU?

Options:

A.  

A GPU acts as a PCIe controller to maximize bandwidth.

B.  

A GPU is architected to support massively parallel execution of simple instructions.

C.  

A GPU is a single large and complex core to support massive compute operations.

Discussion 0
Questions 7

What is the maximum number of MIG instances that an H100 GPU provides?

Options:

A.  

7

B.  

8

C.  

4

Discussion 0
Questions 8

What is a common tool for container orchestration in AI clusters?

Options:

A.  

Kubernetes

B.  

MLOps

C.  

Slurm

D.  

Apptainer

Discussion 0
Questions 9

Which are three key features of InfiniBand networking technology?

Options:

A.  

High reliability, high latency, and CPU offloads.

B.  

High latency, high reliability, and high bandwidth.

C.  

GPU offloads, low latency, high reliability.

D.  

Low latency, high bandwidth, and CPU offloads.

Discussion 0
Questions 10

How many distinct network fabrics are in an AI cluster?

Options:

A.  

3

B.  

2

C.  

4

D.  

5

Discussion 0
Questions 11

Which type of GPU core was specifically designed to realistically simulate the lighting of a scene?

Options:

A.  

Tensor Cores

B.  

CUDA Cores

C.  

Ray Tracing Cores

Discussion 0
Questions 12

What is the importance of a job scheduler in an AI resource-constrained cluster?

Options:

A.  

It allocates resources based on which job requests came first.

B.  

It ensures that all jobs in the cluster are executed simultaneously.

C.  

It increases the number of resources available in the cluster.

D.  

It allocates resources efficiently and optimizes job execution.

Discussion 0
Questions 13

Which of the following statements is true about Kubernetes orchestration?

Options:

A.  

It is bare-metal based but it supports containers.

B.  

It has advanced scheduling capabilities to assign jobs to available resources.

C.  

It has no inferencing capabilities.

D.  

It does load balancing to distribute traffic across containers.

Discussion 0
Questions 14

Which aspect of computing uses large amounts of data to train complex neural networks?

Options:

A.  

Machine learning

B.  

Deep learning

C.  

Inferencing

Discussion 0
Questions 15

In training and inference architecture requirements, what is the main difference between training and inference?

Options:

A.  

Training requires real-time processing, while inference requires large amounts of data.

B.  

Training requires large amounts of data, while inference requires real-time processing.

C.  

Training and inference both require large amounts of data.

D.  

Training and inference both require real-time processing.

Discussion 0