Free NVIDIA NCA-AIIO Exam Questions

Become NVIDIA Certified with updated NCA-AIIO exam questions and correct answers

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Total 350 Questions | Updated On: Aug 19, 2026

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Question 1

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

A : Drivers

B : PyTorch

C : DCGM

D : TensorFlow

Answer: A,C

Question 2

You are training a deep learning model, and you observe fluctuating performance metrics during the training process. Which two factors could most likely be causing these fluctuations? (Select two)

A : Using a fixed batch size throughout training

B : Uniform distribution of data across all epochs

C : Running the training on a single GPU only

D : Variation in input data preprocessing

E : Changes in the learning rate during training

Answer: D,E

Question 3

When designing a data center specifically for AI workloads, which of the following factors is MOST critical to optimize for training large-scale neural networks?

A : Maximizing the number of storage arrays to handle data volumes

B : Deploying the maximum number of CPU cores available in each node

C : High-speed, low-latency networking between compute nodes

D : Ensuring the data center has a robust virtualization platform

Answer: C

Question 4

Which of the following statements is true about GPUs and CPUs?

A : GPUs are optimized for parallel tasks, while CPUs are optimized for serial tasks.

B : GPUs have very low bandwidth main memory while CPUs have very high bandwidth main memory.

C : GPUs and CPUs have the same number of cores, but GPUs have higher clock speeds.

D : GPUs and CPUs have identical architectures and can be used interchangeably.

Answer: A

Question 5

You are managing a high-performance AI cluster where multiple deep learning jobs are scheduled to run concurrently. To maximize resource efficiency, which of the following strategies should you use to allocate GPU resources across the cluster?

A : Use a priority queue to assign GPUs to jobs based on their deadline, ensuring the most timesensitive jobs complete first.

B : Allocate all GPUs to the largest job to ensure its rapid completion, then proceed with smaller jobs.

C : Allocate GPUs to jobs based on their compute intensity, reserving the most powerful GPUs for the most demanding tasks.

D : Assign jobs to GPUs based on their geographic proximity to reduce data transfer times.

Answer: C

Page: 1 / 70

Total 350 Questions | Updated On: Aug 19, 2026

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