NVIDIA
NCA-AIIO
Q1:
A company is implementing a new network architecture and needs to consider the requirements and considerations for training and inference. Which of the following statements is true about training and inference architecture?
○
A
Training architecture and inference architecture have the same requirements and considerations.○
B
Training architecture is only concerned with hardware requirements, while inference architecture is only concerned with software requirements.○
C
Training architecture is focused on optimizing performance while inference architecture is focused on reducing latency.○
D
Training architecture and inference architecture cannot be the same.
NVIDIA
NCA-AIIO
Q2:
What is a key value of using NVIDIA NIMs?
○
A
They provide fast and simple deployment of AI models.○
B
They have community support.○
C
They allow the deployment of NVIDIA SDKs.
NVIDIA
NCA-AIIO
Q3:
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.
NVIDIA
NCA-AIIO
Q4:
Which NVIDIA software provides the capability to virtualize a GPU?
○
A
Horizon○
B
vGPU○
C
virtGPU
NVIDIA
NCA-AIIO
Q5:
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.