NVIDIA NCA-AIIO Dumps
| Exam Code | NCA-AIIO |
| Exam Name | NVIDIA-Certified Associate AI Infrastructure and Operations |
| Update Date | 18 Jul, 2026 |
| Total Questions | 71 Questions Answers With Explanation |
$45
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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.
Question # 8
When using an InfiniBand network for an AI infrastructure, which software component is necessary for the fabric to function?
A. Verbs
B. MPI
C. OpenSM
Question # 9
Which of the following aspects have led to an increase in the adoption of AI? (Choose two.)
A. Moore’s Law
B. Rule-based machine learning
C. High-powered GPUs
D. Large amounts of data
Question # 10
What is the maximum number of MIG instances that an H100 GPU provides?
A. 7
B. 8
C. 4
Question # 11
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?
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.
Question # 12
In an AI cluster, what is the importance of using Slurm?
A. Slurm is used for data storage and retrieval in an AI cluster.
B. Slurm is responsible for AI model training and inference in an AI cluster.
C. Slurm is used for interconnecting nodes in an AI cluster.
D. Slurm helps with managing job scheduling and resource allocation in the cluster.
Question # 13
In an AI cluster, what is the purpose of job scheduling?
A. To gather and analyze cluster data on a regular schedule.
B. To monitor and troubleshoot cluster performance.
C. To assign workloads to available compute resources.
D. To install, update, and configure cluster software.
Question # 14
For which workloads is NVIDIA Merlin typically used?
A. Recommender systems
B. Natural language processing
C. Data analytics
Question # 15
In a data center, what is the purpose and benefit of a DPU?
A. A DPU is responsible for providing backup and disaster recovery solutions.
B. A DPU is used for managing physical infrastructure, such as power and cooling.
C. A DPU is responsible for managing network connections and security.
D. A DPU is designed to offload, accelerate, and isolate infrastructure workloads.
Question # 16
Which of the following NVIDIA tools is primarily used for monitoring and managing AI infrastructure in the enterprise?
A. NVIDIA NeMo System Manager
B. NVIDIA Data Center GPU Manager
C. NVIDIA DGX Manager
D. NVIDIA Base Command Manager
Question # 17
Which aspect of computing uses large amounts of data to train complex neural networks?
A. Machine learning
B. Deep learning
C. Inferencing
Question # 18
Which architecture is the core concept behind large language models?
A. BERT Large model
B. State space model
C. Transformer model
D. Attention model
Question # 19
Which of the following statements correctly differentiates between AI, Machine Learning, and Deep Learning?
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.
Question # 20
When monitoring a GPU-based workload, what is GPU utilization?
A. The maximum amount of time a GPU will be used for a workload.
B. The GPU memory in use compared to available GPU memory.
C. The percentage of time the GPU is actively processing data.
D. The number of GPU cores available to the workload.
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