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: Mar 05, 2026

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Question 1

In an AI data center, you are working with a professional administrator to optimize the deployment of AI workloads across multiple servers. Which of the following actions would best contribute to improving the efficiency and performance of the data center?

A : Distribute AI workloads across multiple servers with GPUs, while using DPUs to manage network and storage tasks

B : Consolidate all AI workloads onto a single high-performance server to maximize GPU utilization

C : Allocate all networking tasks to the CPUs, allowing the GPUs and DPUs to focus solely on AI model computation

D : [Note: Original question only provided three options; assuming a typo and treating A as the intended correct answer]

Answer: A

Question 2

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 3

Which are three key features of InfiniBand networking technology?

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.

Answer: D

Question 4

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

Question 5

During an AI project, a data scientist uses a combination of data mining and data visualization techniques to extract insights from a large dataset containing millions of transaction records. The scientist notices that the data is highly imbalanced, with only a small fraction of transactions being fraudulent. Which approach would be most effective in ensuring that the insights extracted are meaningful and accurate?

A : Ignore the minority class and focus analysis on the majority class since it represents the bulk of the data.

B : Use oversampling techniques on the minority class to balance the dataset before applying data mining techniques.

C : Apply principal component analysis (PCA) to reduce the dimensionality of the dataset, focusing only on the majority class.

D : Visualize the dataset using scatter plots and histograms without addressing the class imbalance.

Answer: B

Page: 1 / 70

Total 350 Questions | Updated On: Mar 05, 2026

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