NVIDIA NCA-AIIO Quiz 1 Topic 3 Questions 1-5

Question: 1

Which of the following statements best differentiates AI, machine learning, and deep learning?

AMachine learning is a type of AI that specifically uses deep learning algorithms to make predictions.

BDeep learning and AI are the same, and machine learning is a subset of deep learning.

CAI is the broad concept of machines being able to perform tasks that require human intelligence, machine learning is a subset of AI, and deep learning is a subset of machine learning.

DMachine learning is synonymous with AI, and deep learning is just an alternative term for neural networks.

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Question: 2

You are managing an AI data center where multiple GPUs are orchestrated across a large cluster to run various deep learning tasks. Which of the following actions best describes an efficient approach to cluster orchestration in this environment?

AUse a round-robin scheduling algorithm to distribute jobs evenly across all GPUs, regardless of their workload requirements.

BPrioritize job assignments to GPUs with the least power consumption to reduce energy costs.

CImplement a Kubernetes-based orchestration system to dynamically allocate GPU resources based on workload demands.

DAssign all jobs to the most powerful GPU in the cluster to maximize performance and minimize job completion time.

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Question: 3

You are responsible for managing an AI-driven fraud detection system that processes transactions in real-time. The system is hosted on a hybrid cloud infrastructure, utilizing both on-premises and cloud-based GPU clusters. Recently, the system has been missing fraud detection alerts due to delays in processing data from on-premises servers to the cloud, causing significant financial risk to the organization. What is the most effective way to reduce latency and ensure timely fraud detection across the hybrid cloud environment?

AIncreasing the number of on-premises GPU clusters to handle the workload locally

BImplementing a low-latency, high-throughput direct connection between the on-premises data center and the cloud

CMigrating the entire fraud detection workload to on-premises servers

DSwitching to a single-cloud provider to centralize all processing in the cloud

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Question: 4

You are responsible for managing an AI infrastructure that runs a critical deep learning application. The application experiences intermittent performance drops, especially when processing large datasets. Upon investigation, you find that some of the GPUs are not being fully utilized while others are overloaded, causing the overall system to underperform. What would be the most effective solution to address the uneven GPU utilization and optimize the performance of the deep learning application?

AReduce the size of the datasets being processed.

BIncrease the clock speed of the GPUs.

CAdd more GPUs to the system.

DImplement dynamic load balancing for the GPUs.

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Question: 5

An organization is deploying a large-scale AI model across multiple NVIDIA GPUs in a data center. The model training requires extensive GPU-to-GPU communication to exchange gradients. Which of the following networking technologies is most appropriate for minimizing communication latency and maximizing bandwidth between GPUs?

AInfiniBand

BEthernet

CWi-Fi

DFibre Channel

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NVIDIA NCA-AIIO Quiz:1 Topic:3 Questions:1-5