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NVIDIA-Certified Associate NVIDIA-Certified Associate AI Infrastructure and Operations

NVIDIA-Certified Associate AI Infrastructure and Operations

Last Update Feb 3, 2026
Total Questions : 50

To help you prepare for the NCA-AIIO NVIDIA exam, we are offering free NCA-AIIO NVIDIA exam questions. All you need to do is sign up, provide your details, and prepare with the free NCA-AIIO practice questions. Once you have done that, you will have access to the entire pool of NVIDIA-Certified Associate AI Infrastructure and Operations NCA-AIIO test questions which will help you better prepare for the exam. Additionally, you can also find a range of NVIDIA-Certified Associate AI Infrastructure and Operations resources online to help you better understand the topics covered on the exam, such as NVIDIA-Certified Associate AI Infrastructure and Operations NCA-AIIO video tutorials, blogs, study guides, and more. Additionally, you can also practice with realistic NVIDIA NCA-AIIO exam simulations and get feedback on your progress. Finally, you can also share your progress with friends and family and get encouragement and support from them.

Questions 2

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
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Questions 3

For which workloads is NVIDIA Merlin typically used?

Options:

A.  

Recommender systems

B.  

Natural language processing

C.  

Data analytics

Discussion 0
Questions 4

What is a significant benefit of using containers in an AI development environment?

Options:

A.  

They increase the base accuracy of AI models by optimizing their algorithms.

B.  

They ensure that AI applications run consistently across different computing environments.

C.  

They can automatically generate AI datasets for machine learning model training.

D.  

They directly increase the processing speed of GPUs used in AI computations.

Discussion 0
Questions 5

Which of the following statements correctly differentiates between AI, Machine Learning, and Deep Learning?

Options:

A.  

Machine Learning is a subset of AI, and AI is a subset of Deep Learning.

B.  

AI and Deep Learning are the same, while Machine Learning is a separate concept.

C.  

AI is a subset of Machine Learning, and Machine Learning is a subset of Deep Learning.

D.  

Deep Learning is a subset of Machine Learning, and Machine Learning is a subset of AI.

Discussion 0
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