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NVIDIA NCP-AIN Exam Syllabus Topics:

Topic
Details

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

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.

Topic 3

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.

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NVIDIA-Certified Professional AI Networking Sample Questions (Q62-Q67):

NEW QUESTION # 62
You're troubleshooting a Spectrum-X network and notice that the System Status LED on a switch is blinking for more than 5 minutes. What is the most likely cause of this issue?

A. The Onyx software did not boot properly
B. The power supply unit is failing
C. The switch is overheating

Answer: A

Explanation:
According to theNVIDIA Spectrum-X Switch Operating System (SX_OS) Troubleshooting Guide, the System Status LED behavioris a critical indicator of the switch's internal operational state.
From the document:
"The System Status LED will blink green during system initialization. If the LED continues blinking for more than 5 minutes, it indicates that the Onyx OS hasfailed to load properly. The system may be stuck in the boot process, or the file system may be corrupted." This blinking LED beyond normal initialization time indicates that the system has either encountered a failure during software boot or is unable to transition from bootloader to the OS runtime environment (i.e., Onyx).
Key causes include:
* Corrupted or missing system files.
* Failed firmware or OS upgrade attempts.
* Boot device (e.g., eMMC or SSD) issues or corrupted partitions.
Technically, during power-on:
* The switch performs POST (Power-On Self Test).
* Then the Onyx OS attempts to load from the boot partition.
* If the Onyx OS kernel or root filesystem is invalid, the system halts boot, and the LED remains in a blinking state, as no successful OS load confirmation is triggered.
Remediation Steps (as per NVIDIA guide):
* Access the switch throughconsoleandmonitor boot logs.
* UseONIE recoveryor re-flash a stable Onyx OS version.
* Check system storage integrity using built-in diagnostics.
Exact Extract Reference:
Source: NVIDIA SX_OS 3.9.3000 Documentation
Topic: Troubleshooting System Status LED
Extract: "If the LED blinks for more than 5 minutes and the switch is not accessible via CLI, the Onyx software failed to load properly and recovery procedures must be initiated."

NEW QUESTION # 63
What command sequence is used to identify the exact name of the server that runs as the master SM in a multi-node fabric?

A. ibstat
sminfo <LID>
B. sminfo
smpquery Nl <LID>
C. sminfo
smpquery ND <LID>
D. ibis
ibsim <LID>

Answer: C

Explanation:
To identify the activeSubnet Manager (SM)node in an InfiniBand fabric, the correct command sequence is:
* sminfo
* Displays general information about the active SM in the fabric, including itsLID.
* smpquery ND <LID>
* Resolves theNode Description (ND)at the given LID, revealing the exact hostname or label of the SM server.
From the InfiniBand Tools Guide:
"The sminfo utility provides the LID of the master SM. Use smpquery ND <LID> to resolve the node name hosting the SM." This two-step approach is standard for locating and validating the SM identity in fabric diagnostics.
Incorrect Options:
* B (Nl)is an invalid query type.
* CandDdo not identify SMs.
Reference: InfiniBand SM Tools - sminfo & smpquery Usage

NEW QUESTION # 64
What is the purpose of WJH (What Just Happened)?

A. Provide contextual information regarding dropped packets in order to aid debugging.
B. Send notifications of failed login attempts to a pre-defined Slack channel.
C. Collate operating system logs and diagnose system crashes.
D. Identify potential cyberattacks or unusual traffic patterns across the cluster.

Answer: A

Explanation:
NVIDIA's What Just Happened (WJH) is a feature that provides real-time visibility into network problems by analyzing all packets passing through the switch and alerting on performance issues caused by packet drops, congestion, high latency, or misconfigurations.
WJH retains the last packets that were dropped from the switch with complete packet headers and the actual drop reason. This enhances the ability to debug network problems, identify affected flows, and decrease time- to-repair.

NEW QUESTION # 65
In an AI cluster using NVIDIA GPUs, which configuration parameter in the NicClusterPolicy custom resource is crucial for enabling high-speed GPU-to-GPU communication across nodes?

A. NV IPAM
B. Secondary Network
C. RDMA Shared Device Plugin
D. OFED Driver

Answer: C

Explanation:
The RDMA Shared Device Plugin is a critical component in the NicClusterPolicy custom resource for enabling Remote Direct Memory Access (RDMA) capabilities in Kubernetes clusters. RDMA allows for high- throughput, low-latency networking, which is essential for efficient GPU-to-GPU communication across nodes in AI workloads. By deploying the RDMA Shared Device Plugin, the cluster can leverage RDMA- enabled network interfaces, facilitating direct memory access between GPUs without involving the CPU, thus optimizing performance.
Reference Extracts from NVIDIA Documentation:
* "RDMA Shared Device Plugin: Deploy RDMA Shared device plugin. This plugin enables RDMA capabilities in the Kubernetes cluster, allowing high-speed GPU-to-GPU communication across nodes."
* "The RDMA Shared Device Plugin is responsible for advertising RDMA-capable network interfaces to Kubernetes, enabling pods to utilize RDMA for high-performance networking."

NEW QUESTION # 66
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 ensure data security and isolation from other network traffic.
B. To provide high-bandwidth, low-latency data access that prevents I/O bottlenecks during AI model training.
C. To reduce the overall cost of the storage infrastructure.
D. To enable parallel data access and improve storage performance for distributed AI workloads.

Answer: B,D

Explanation:
Modern AI training (especially with LLMs) requires extremely high-speed, parallel access to large datasets. A dedicated storage fabricseparates data I/O traffic from the training compute path and avoids contention.
FromNVIDIA DGX Infrastructure Reference Architectures:
"Dedicated storage networks eliminate I/O bottlenecks by providing low-latency, high-bandwidth access to distributed storage for large-scale training jobs."
"Parallel access to datasets is key for performance, especially in multi-node, multi-GPU AI clusters." Security (B)is important, but not the core reason for a storage fabric.
Cost (D)is typicallyincreased, not reduced, with dedicated fabrics.
Reference: NVIDIA BasePOD/AI Infrastructure Deployment Guidelines - Storage Section

NEW QUESTION # 67
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