Question 1

A healthcare company is training a large convolutional neural network (CNN) for medical image analysis. The dataset is enormous, and training is taking longer than expected. The team needs to speed up the training process by distributing the workload across multiple GPUs and nodes. Which of the following NVIDIA solutions will help them achieve optimal performance?

Options :

A : NVIDIA cuDNN

B : NVIDIA NCCL and NVIDIA DALI

C : NVIDIA DeepStream SDK

D : NVIDIA TensorRT

Answer: B

Question 2

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

Options :

A : Healthcare

B : Education

C : Retail

D : Real Estate

Answer: C

Question 3

Which statement correctly differentiates between AI, machine learning, and deep learning?

Options :

A : Machine learning is the same as AI, and deep learning is simply a method within AI that doesn't involve machine learning.

B : AI is a broad field encompassing various technologies, including machine learning, which focuses on data-driven models, and deep learning, a subset of machine learning using neural networks.

C : Deep learning is a broader concept than machine learning, which is a specialized form of AI.

D : Machine learning is a type of AI that only uses linear models, while deep learning involves nonlinear models exclusively.

Answer: B

Question 4

You are managing an AI infrastructure that includes multiple NVIDIA GPUs across various virtual machines (VMs) in a cloud environment. One of the VMs is consistently underperforming compared to others, even though it has the same GPU allocation and is running similar workloads. What is the most likely cause of the underperformance in this virtual machine?

Options :

A : Misconfigured GPU passthrough settings

B : Inadequate storage I/O performance

C : Insufficient CPU allocation for the VM

D : Incorrect GPU driver version installed

Answer: A

Question 5

Your company is implementing a hybrid cloud AI infrastructure that needs to support both on-premises and cloud-based AI workloads. The infrastructure must enable seamless integration, scalability, and efficient resource management across different environments. Which NVIDIA solution should be considered to best support this hybrid infrastructure?

Options :

A : NVIDIA MIG (Multi-Instance GPU)

B : NVIDIA Triton Inference Server

C : NVIDIA Clara Deploy SDK

D : NVIDIA Fleet Command

Answer: D

Free NCA-AIIO Mock Exam – Practice Online Confidently

Buying Options: