Online Access Free NCP-AIN Practice Test

A major cloud provider is designing a new data center to support large-scale AI workloads, particularly for training large language models. They want to optimize their network architecture for maximum performance and efficiency. Why is a rail-optimized topology considered a best practice for AI network architecture in this scenario?

• A.It prioritizes north-south traffic over east-west traffic for better internet connectivity.
• B.It maximizes the number of network hops to increase data redundancy.
• C.It provides optimal GPU-to-GPU communication and reduces network interference between flows.
• D.It simplifies network management by using a single large switch for all connections.

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

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

What is the role of NVIDIA's AI-driven network monitoring in data centers?

• A.To dynamically adjust network parameters based on workload demands
• B.To optimize traffic routing for deep learning models
• C.To monitor GPU performance and utilization
• D.To ensure secure data transmission

How does Spectrum-X achieve network isolation for multiple tenants?

• A.By assigning unique IP address ranges to each tenant.
• B.By implementing a Layer 3 Virtual Network Identifier (L3VNI) per VRR
• C.Using manual configuration of access control lists (ACLs).
• D.By implementing physical network segmentation.

A leading AI research center is upgrading its infrastructure to support large language model projects. The team is debating whether to implement a dedicated storage fabric for their AI workloads. Which of the following best explains why a dedicated storage fabric is crucial for this AI network architecture? Pick the 2 correct responses below

• A.To reduce the overall cost of the storage infrastructure.
• B.To ensure data security and isolation from other network traffic.
• C.To provide high-bandwidth, low-latency data access that prevents I/O bottlenecks during AI model training.
• D.To enable parallel data access and improve storage performance for distributed AI workloads.