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NVIDIA NCP-AIN Exam Syllabus Topics:

Section	Objectives
NVIDIA Spectrum Networking
AI Data Center Design and Optimization
Troubleshooting Tools and Methods
Automation and Configuration
NVIDIA InfiniBand Networking
Kubernetes Integration for AI Workloads

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NVIDIA-Certified Professional AI Networking Sample Questions (Q11-Q16):

NEW QUESTION # 11
In order to configure RoCE on a Cumulus switch, which command should be used?

A. nv qos roce enable on
B. nv roce qos enable on
C. nv set roce qos enable on
D. nv set qos roce enable on

Answer: D

Explanation:
To enable RDMA over Converged Ethernet (RoCE) on a Cumulus switch, the correct command is:
nv set qos roce enable on
This command configures the Quality of Service (QoS) settings to support RoCE, ensuring that the necessary parameters for lossless Ethernet are applied.

NEW QUESTION # 12
What are the prerequisites for performing Flow Analysis with NetQ?

A. Cumulus 5.x and later / Spectrum-2 and later / On-premises deployment
B. Cumulus 5.x and later / Spectrum-2 and later / LCM enabled
C. Cumulus 5.x and later / Spectrum-3 and later / On-premises deployment
D. Cumulus 4.x and later / Spectrum-2 and later / LCM enabled

Answer: B

Explanation:
To perform Flow Analysis with NetQ, the following prerequisites must be met:
Cumulus Linux Version: NetQ Flow Analysis requires Cumulus Linux 5.x or later.
Switch Hardware: The feature is supported on Spectrum-2 and later switch models.
Lifecycle Management (LCM): LCM must be enabled to utilize Flow Analysis capabilities.
These requirements ensure compatibility and proper functioning of the Flow Analysis feature within NetQ.

NEW QUESTION # 13
What is the role of the NVIDIA CUDA-X AI platform in AI networking?

A. To monitor network traffic
B. To improve graphical rendering speed
C. To provide AI-optimized libraries and tools for networking and compute tasks
D. To encrypt AI data

Answer: C

Explanation:
CUDA-X AI is a suite of software tools and libraries that NVIDIA offers to optimize AI workloads. It accelerates both networking and computing tasks to help deliver high performance for AI/ML applications.

NEW QUESTION # 14
How does NVIDIA's AI networking solution contribute to the success of deep learning models?

A. By generating synthetic training data
B. By providing the necessary high-bandwidth, low-latency infrastructure for fast data transfer
C. By managing GPU utilization
D. By providing data encryption and privacy for model training

Answer: B

Explanation:
NVIDIA's AI networking solutions ensure that deep learning models are trained quickly and efficiently by providing high-bandwidth, low-latency networking for the large data sets required in training.

NEW QUESTION # 15
You are tasked with configuring multi-tenancy using partition key (PKey) for a high-performance storage fabric running on InfiniBand. Each tenant's GPU server is allowed to access the shared storage system but cannot communicate with another tenant's GPU server. Which of the following partition key membership configurations would you implement to set up multi- tenancy in this environment?

A. Assign limited membership PKey to the shared storage system and full membership PKey to each tenant's GPU servers.
B. Assign full membership PKey to the shared storage system and limited membership PKey to each tenant's GPU servers.
C. Assign full membership to both GPU servers and storage system.
D. Assign limited membership to both GPU servers and storage system.

Answer: B

Explanation:
To enforce strictmulti-tenancy, where:
Tenant A's GPU cannot talk to Tenant B's GPU
But both can access shared storage
The correct solution is:
Storage system # Full PKey membership
Each tenant's GPU # Limited PKey membership

NEW QUESTION # 16
......

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