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NVIDIA-Certified Associate AI Infrastructure and Operations Question and Answers

NVIDIA-Certified Associate AI Infrastructure and Operations

Last Update Jul 26, 2026
Total Questions : 71

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Questions 1

A customer is evaluating an AI cluster for training and is questioning why they should use a large number of nodes. Why would multi-node training be advantageous?

Options:

A.  

The model is too large to fit into GPU memory.

B.  

The model is being used by a large number of users.

C.  

The model is being used for large-scale inference workloads.

Discussion 0
Questions 2

Which NVIDIA tool aids data center monitoring and management?

Options:

A.  

Mellanox Insight

B.  

TensorRT

C.  

Clara

D.  

DCGM

Discussion 0
Questions 3

In an AI cluster, what is the purpose of job scheduling?

Options:

A.  

To gather and analyze cluster data on a regular schedule.

B.  

To monitor and troubleshoot cluster performance.

C.  

To assign workloads to available compute resources.

D.  

To install, update, and configure cluster software.

Discussion 0
Questions 4

What distinguishes an edge AI deployment from cloud-based deployments?

Options:

A.  

Eliminates need for network management.

B.  

Processes data close to the source.

C.  

Relies solely on CPU for all computation.

D.  

Requires higher-capacity GPUs at every site.

Discussion 0
Questions 5

For which workloads is NVIDIA Merlin typically used?

Options:

A.  

Recommender systems

B.  

Natural language processing

C.  

Data analytics

Discussion 0
Questions 6

When deploying high-density workloads in a data center, what are the three main resource constraints that need to be considered?

Options:

A.  

Processing speed, storage capacity, and network connectivity.

B.  

Power, cooling, and physical space.

C.  

Bandwidth, security, and redundancy.

Discussion 0
Questions 7

When should RoCE be considered to enhance network performance in a multi-node AI computing environment?

Options:

A.  

A network that experiences a high packet loss rate (PLR).

B.  

A network with large amounts of storage traffic.

C.  

A network that cannot utilize the full available bandwidth due to high CPU utilization.

Discussion 0
Questions 8

In the field of Artificial Intelligence, there is a hierarchical structure of subsets that delineates the relationship between different areas of study and application within AI. What is the hierarchical structure of subsets?

Options:

A.  

Generative AI, Deep Learning, Machine Learning.

B.  

Machine Learning, Deep Learning, Generative AI.

C.  

Machine Learning, Generative AI, Deep Learning.

Discussion 0
Questions 9

What aspect of AI infrastructure design is MOST critical for ensuring high availability of production AI services during hardware or node failures?

Options:

A.  

Automated failover orchestration and elastic scaling across redundant nodes.

B.  

Custom GPU driver builds optimized for each application.

C.  

Periodic expansion of training datasets with backup copies.

D.  

Manual GPU restarts and ad hoc redeployment during incidents.

Discussion 0
Questions 10

How is out-of-band management utilized by network operators in an AI environment?

Options:

A.  

It is used to remotely manage and troubleshoot network devices independently of the production network.

B.  

It is used to directly manage the AI model’s learning rate during training sessions.

C.  

It is used to increase the computational power of AI models by adapting additional processing resources.

D.  

It is used to manage the data throughput of AI applications by prioritizing network traffic.

Discussion 0
Questions 11

Which technology partitions a single GPU into isolated instances for parallel workloads?

Options:

A.  

vGPU

B.  

MIG

C.  

NVLink

D.  

NCCL

Discussion 0
Questions 12

The foundation of the NVIDIA software stack is the DGX OS. Which of the following Linux distributions is DGX OS built upon?

Options:

A.  

Ubuntu

B.  

Red Hat

C.  

CentOS

Discussion 0
Questions 13

What is one key advantage that Cloud GPU Infrastructure has over On-Prem GPU infrastructure?

Options:

A.  

Lower cost barrier to entry.

B.  

Reduced cost of I/O traffic.

C.  

Greater flexibility for hardware orchestration.

Discussion 0
Questions 14

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

Options:

A.  

Drivers

B.  

PyTorch

C.  

DCGM

D.  

TensorFlow

Discussion 0
Questions 15

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 16

Which NVIDIA tool aids data center monitoring and management?

Options:

A.  

NVIDIA Mellanox Insight

B.  

NVIDIA Clara

C.  

NVIDIA TensorRT

D.  

NVIDIA DCGM

Discussion 0
Questions 17

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
Questions 18

When monitoring a GPU-based workload, what is GPU utilization?

Options:

A.  

The maximum amount of time a GPU will be used for a workload.

B.  

The GPU memory in use compared to available GPU memory.

C.  

The percentage of time the GPU is actively processing data.

D.  

The number of GPU cores available to the workload.

Discussion 0
Questions 19

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 20

Which feature of RDMA reduces CPU utilization and lowers latency?

Options:

A.  

Increased memory buffer size.

B.  

Network adapters that include hardware offloading.

C.  

NVIDIA Magnum I/O software.

Discussion 0
Questions 21

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