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[General] NCP-AIN Real Testing Environment & NCP-AIN Cert Exam

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【General】 NCP-AIN Real Testing Environment & NCP-AIN Cert Exam

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NVIDIA NCP-AIN Exam Syllabus Topics:
TopicDetails
Topic 1
  • AI Network Architecture: This section of the exam measures the skills of AI Infrastructure Architects and covers the ability to distinguish between AI factory and AI data center architectures. It includes understanding how Ethernet and InfiniBand differ in performance and application, and identifying the right storage options based on speed, scalability, and cost to fit AI networking needs.
Topic 2
  • Spectrum-X Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures the skills of Network Performance Engineers and covers configuring, managing, and securing NVIDIA Spectrum-X switches. It includes setting performance baselines, resolving performance issues, and using diagnostic tools such as CloudAI benchmark, NCCL, and NetQ. It also emphasizes leveraging DPUs for network acceleration and using monitoring tools like Grafana and SNMP for telemetry analysis.
Topic 3
  • InfiniBand Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures the skills of Data Center Network Administrators and covers the configuration and operational maintenance of NVIDIA InfiniBand switches. It includes setting up InfiniBand fabrics for multi-tenant environments, managing subnet configurations, testing connectivity, and using UFM to troubleshoot and analyze issues. It also focuses on validating rail-optimized topologies for optimal network performance.

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NVIDIA-Certified Professional AI Networking Sample Questions (Q12-Q17):NEW QUESTION # 12
You are deploying a Kubernetes cluster for AI workloads using NVIDIA Spectrum-X switches. You need to automate the deployment and management of networking components in this environment.
Which NVIDIA tool is specifically designed to automate the deployment and management of networking components in a Kubernetes cluster with Spectrum-X switches?
  • A. GPU Operator
  • B. Mellanox OFED
  • C. Network Operator
  • D. Container Runtime
Answer: C
Explanation:
TheNVIDIA Network Operatoris designed to simplify and automate the deployment and management of networking components in Kubernetes clusters, particularly those utilizing NVIDIA Spectrum-X switches. It manages the installation and configuration of necessary drivers, plugins, and other networking resources to enable features like RDMA and GPUDirect RDMA, which are essential for high-performance AI workloads.
By leveraging Kubernetes Custom Resource Definitions (CRDs) and the Operator Framework, the Network Operator ensures that networking components are consistently and correctly configured across the cluster, reducing manual intervention and potential configuration errors.
Reference:NVIDIA Network Operator Documentation

NEW QUESTION # 13
You are automating the deployment of a Spectrum-X network using Ansible. You need to ensure that the playbooks can handle different switch models and configurations efficiently.
Which feature of the NVIDIA NVUE Collection helps simplify the automation by providing pre-built roles for common network configurations?
  • A. Collection libraries
  • B. Collection modules
  • C. Collection roles
  • D. Collection plugins
Answer: C
Explanation:
The NVIDIA NVUE Collection for Ansible includes pre-built roles designed to streamline automation tasks across various switch models and configurations. These roles encapsulate common network configurations, allowing for efficient and consistent deployment.
By utilizing these roles, network administrators can:
* Apply standardized configurations across different devices.
* Reduce the complexity of playbooks by reusing modular components.
* Ensure consistency and compliance with organizational policies.
This approach aligns with Ansible best practices, promoting maintainability and scalability in network automation.
Reference: NVIDIA NVUE Collection Documentation - Ansible Roles

NEW QUESTION # 14
Which of the following commands would you use to assign the IP address 20.11.12.13 to the management interface in SONiC?
  • A. sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254
  • B. nv set interface mgmt ip 20.11.12.13 20.11.12.254
  • C. interface mgmt0 vrf mgmt ip address 20.11.12.13 20.11.12.254
  • D. config ip add etho 20.11.12.13/24 20.11.12.254
Answer: A
Explanation:
In SONiC, to assign a static IP address to the management interface, the correct command is:
sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254
This command sets the IP address and the default gateway for the management interface.
SONiC (Software for Open Networking in the Cloud) is an open-source network operating system used on NVIDIA Spectrum-X platforms, including Spectrum-4 switches, to provide a flexible and scalable networking solution for AI and HPC data centers. Configuring the management interface in SONiC is a critical task for enabling remote access and network management. The question asks for the correct command to assign the IP address 20.11.12.13 to the management interface, typically identified as eth0 in SONiC, as it is the default management interface for out-of-band management.
Based on NVIDIA's official SONiC documentation, the correct command to assign an IP address to the management interface involves using the config command-line utility, which is part of SONiC's configuration framework. The command sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254 is the standard method to configure the IP address and gateway for the eth0 management interface. This command specifies the interface (eth0), the IP address with its subnet mask (20.11.12.13/24), and the default gateway (20.11.12.254), ensuring proper network connectivity.
Exact Extract from NVIDIA Documentation:
"To configure the management interface in SONiC, use the config interface ip add command. For example, to assign an IP address to the eth0 management interface, run:
sudo config interface ip add eth0 <IP_ADDRESS>/<REFIX_LENGTH> <GATEWAY> Example:
sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254
This command adds the specified IP address and gateway to the management interface, enabling network access."
-NVIDIA SONiC Configuration Guide
This extract confirms that option C is the correct command for assigning the IP address to the management interface in SONiC. The use of sudo ensures the command is executed with the necessary administrative privileges, and the syntax aligns with SONiC's configuration model, which persists the changes in the configuration database.
Referenceell EMC Networking S-Series Basic Switch Management Configuration

NEW QUESTION # 15
Which of the following routing protocols is not capable of avoiding credit loops?
  • A. UPDOWN
  • B. MINHOP
  • C. All routing protocols are capable of avoiding credit loops
  • D. FAT TREE
Answer: B
Explanation:
TheMINHOProuting protocol, while efficient in finding minimal paths, does not inherently prevent credit loops. This can lead to deadlocks in the network. In contrast, routing protocols like UPDOWN and FAT TREE are designed to avoid such loops, ensuring more reliable network operation.
Reference:Optimized Routing for Large-Scale InfiniBand Networks

NEW QUESTION # 16
You're designing a multi-GPU system for AI training using NVIDIA GPUs with NVLink connections.
You need to maximize inter-GPU communication bandwidth. Which feature included in NCCL allows for improved communication between GPUs and NICs?
  • A. Adaptive Routing
  • B. PXN
  • C. SHARP v2
  • D. Graph Search Optimization
Answer: B
Explanation:
The correct answer isPXN (Peer eXchange Network).
From theNVIDIA NCCL Documentation:
"XN enables communication between GPUs connected via NVLink and NICs by treating the GPUs as a distributed switch. This architecture improves bandwidth utilization by enabling any GPU to communicate with the NIC via the shortest path available, even if it's not directly connected to the NIC." This enhances GPU-to-NIC and NIC-to-GPU transfers, leveraging the NVLink topology. It significantly boosts performance in multi-GPU setups where not every GPU is directly connected to the NIC.
Other options:
* Adaptive Routingis a fabric-level feature for dynamic path rerouting.
* Graph Search Optimizationis used internally for topology modeling in NCCL.
* SHARP v2is a switch-based collective acceleration method, unrelated to PXN.
Reference: NVIDIA NCCL User Guide - PXN Feature Section

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