Free NCA-AIIO Exam Files Downloaded Instantly 100% Dumps & Practice Exam [Q44-Q61]

QUESTION 44
When monitoring a GPU-based workload, what is GPU utilization?

QUESTION 45
When deploying high-density workloads in a data center, what are the three main resource constraints that need to be considered?

QUESTION 46
When training a neural network, what is the most common pattern of storage access?

QUESTION 47
Which of the following software components is most responsible for optimizing deep learning operations on NVIDIA GPUs by providing highly tuned implementations of standard routines?

QUESTION 48
Which of the following statements correctly highlights a key difference between GPU and CPU architectures?

QUESTION 49
Which networking feature is most important for supporting distributed training of large AI models across multiple data centers?

QUESTION 50
What is the importance of a job scheduler in an AI resource-constrained cluster?

QUESTION 51
Which feature of RDMA reduces CPU utilization and lowers latency?

QUESTION 52
You are deploying an AI model on a cloud-based infrastructure using NVIDIA GPUs. During the deployment, you notice that the model’s inference times vary significantly across different instances, despite using the same instance type. What is the most likely cause of this inconsistency?

QUESTION 53
When setting up a virtualized environment with NVIDIA GPUs, you notice a significant drop in performance compared to running workloads on bare metal. Which factor is most likely contributing to the performance degradation?

QUESTION 54
A data center is running a cluster of NVIDIA GPUs to support various AI workloads. The operations team needs to monitor GPU performance to ensure workloads are running efficiently and to prevent potential hardware failures. Which two key measures should they focus on to monitor the GPUs effectively? (Select two)

QUESTION 55
What is an advantage of InfiniBand over Ethernet?

QUESTION 56
A simul-ation is bottlenecked by memory transfer speeds. Which GPU architectural feature addresses this?

QUESTION 57
In a data center designed for AI workloads, what is a key difference in how GPUs and DPUs complement CPU functionality?

QUESTION 58
You are working on a project that involves monitoring the performance of an AI model deployed in production. The model’s accuracy and latency metrics are being tracked over time. Your task, under the guidance of a senior engineer, is to create visualizations that help the team understand trends in these metrics and identify any potential issues. Which visualization would be most effective for showing trends in both accuracy and latency metrics over time?

QUESTION 59
Which feature of RDMA reduces CPU utilization and lowers latency?

QUESTION 60
You are responsible for managing an AI infrastructure where multiple data scientists are simultaneously running large-scale training jobs on a shared GPU cluster. One data scientist reports that their training job is running much slower than expected, despite being allocated sufficient GPU resources. Upon investigation, you notice that the storage I/O on the system is consistently high. What is the most likely cause of the slow performance in the data scientist’s training job?

QUESTION 61
Which industry has seen the most significant impact from AI-driven advancements, particularly in optimizing supply chain management and improving customer experience?