Free NVIDIA NCA-AIIO Practice Test & Real Exam Questions

Exam Code/Number: NCA-AIIO
Exam Name/Title: NVIDIA-Certified Associate AI Infrastructure and Operations
Certification Provider: NVIDIA
Corresponding Certification: NVIDIA-Certified Associate

Exam Questions: 125
Updated On: Jun 29, 2026

Question #1

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

A. GPUs have very low bandwidth main memory while CPUs have very high bandwidth main memory.

B. GPUs are optimized for parallel tasks, while CPUs are optimized for serial tasks.

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.

Discussion 0

Correct Answer: B Vote an answer

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Question #2

How does NVSwitch contribute to accelerating network performance in an AI environment?

A. NVSwitch amplifies the bandwidth of traditional Ethernet networks to speed up AI data processing.

B. NVSwitch increases the storage capacity of AI systems by directly connecting to solid-state drives (SSDs).

C. NVSwitch reduces network latency by enabling direct communication between GPUs without going through the CPU.

D. NVSwitch enhances signal strength for better wireless connectivity in AI applications.

Discussion 0

Correct Answer: C Vote an answer

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Question #3

How many Mellanox ConnectX-6 Single Port VPI cards are in a DGX A100 system?

A. 4

B. 16

C. 8

Discussion 0

Correct Answer: C Vote an answer

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Question #4

Why use NVIDIA GPUDirect Storage in an AI cluster?

A. Simplifies traditional CPU-centric storage input/output paths.

B. Enables peer-to-peer memory transfers between GPUs and NVMe storage.

C. Improves TCP/IP data transmission speeds between GPUs and CPUs.

D. Increases GPU clock rate by offloading storage read/write.

Discussion 0

Correct Answer: B Vote an answer

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Question #5

In a 512-GPU training cluster, engineers observe poor scaling efficiency when moving from single-node to multi-node runs, even though the compute nodes themselves are not fully utilized and the model code has already been optimized. Profiling shows that collective all-reduce operations dominate step time as node count increases. Why should InfiniBand be chosen over traditional Ethernet for this type of multi-node AI training environment?

A. It always consumes less power than any alternative data center networking technology, regardless of topology or workload.

B. It is significantly easier to deploy and maintain than any form of Ethernet and requires almost no specialized networking expertise.

C. It inherently guarantees end-to-end network security without the need for additional configuration or complementary security controls.

D. It offers very high bandwidth, ultra-low latency, and hardware support for collective operations (for example, all-reduce) that improve distributed training scalability.

Discussion 0

Correct Answer: D Vote an answer

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Question #6

What is CUDA

A. NVIDIA's containerization SDK.

B. NVIDIA's parallel programming toolkit.

C. NVIDIA's deep learning libraries.

Discussion 0

Correct Answer: B Vote an answer

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Question #7

In a data center, what is the key purpose of a UPS (Uninterruptible Power Supply)?

A. To cool the data center and maintain optimal temperature.

B. To provide backup power in case of a power outage.

C. To regulate the voltage of incoming power to prevent damage to equipment.

Discussion 0

Correct Answer: B Vote an answer

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Question #8

In an AI cluster, what is the importance of using Slurm?

A. Slurm is responsible for AI model training and inference in an AI cluster.

B. Slurm is used for interconnecting nodes in an AI cluster.

C. Slurm helps with managing job scheduling and resource allocation in the cluster.

D. Slurm is used for data storage and retrieval in an AI cluster.

Discussion 0

Correct Answer: C Vote an answer

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Question #9

Which is a current driver for enterprise adoption of platforms like NVIDIA Base Command and Kubernetes?

A. Preference for single-GPU deployments.

B. The need for more granular server configuration.

C. Standardization and automation for managing GPU clusters.

D. Simplification of AI stack configuration and monitoring.

Discussion 0

Correct Answer: C Vote an answer

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Question #10

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?

A. Machine Learning, Generative AI, Deep Learning.

B. Generative AI, Deep Learning, Machine Learning.

C. Machine Learning, Deep Learning, Generative AI.

Discussion 0

Correct Answer: C Vote an answer

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