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NVIDIA NCA-AIIO Dumps

NVIDIA NCA-AIIO Exam Dumps

NVIDIA-Certified Associate AI Infrastructure and Operations

Total Questions : 71
Update Date : July 16, 2026
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NVIDIA NCA-AIIO Sample Question Answers

Question # 1

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

A. 8 
B. 16
 C. 4 



Question # 2

What is a common tool for container orchestration in AI clusters? 

A. Kubernetes 
B. MLOps 
C. Slurm 
D. Apptainer



Question # 3

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

 A. Lower cost barrier to entry. 
B. Reduced cost of I/O traffic. 
C. Greater flexibility for hardware orchestration.



Question # 4

When training a neural network, what is the most common pattern of storage access? 

A. Random write 
B. Sequential read 
C. Sequential write 



Question # 5

What is the importance of a job scheduler in an AI resource-constrained cluster?

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. 



Question # 6

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. 



Question # 7

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

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.