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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA AI Infrastructure (NCP-AII) Certification Exam |
| Exam Number: | NCP-AII |
| Exam Price: | $400 |
| Real Exam Qty: | 70-75 |
| Exam Format: | Multiple-choice, Scenario-based questions |
| Certificate Validity Period: | 2 years |
| Related Certifications: | NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO) NVIDIA-Certified Professional AI Operations (NCP-AIO) NVIDIA-Certified Professional AI Networking (NCP-AIN) |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Recommended Training: | AI Infrastructure Professional Workshop AI Infrastructure & Operations Fundamentals (NVIDIA Training) |
| Exam Registration: | Official NVIDIA Certification Portal NVIDIA AI Infrastructure Certification Page |
| Sample Questions: | NVIDIA NCP-AII Sample Questions |
| Exam Way: | Online proctored exam (remote) or authorized test center depending on region |
| Pre Condition: | Recommended 2–3 years of experience working in data center environments with NVIDIA hardware solutions (GPU servers, networking, storage). |
| Official Syllabus URL: | https://www.nvidia.com/en-eu/learn/certification/ai-infrastructure-professional/ |
Among the three versions, the PDF version of NCP-AII training guide is specially provided for these candidates, because it supports download and printing.For those who are willing to learn on the phone, as long as you have a browser installed on your phone, you can use the App version of our NCP-AII Exam Questions. The PC version is ideal for computers with windows systems, which can simulate a real test environment. There are also the Value pack of our NCP-AII study materials for you to purchase.
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NEW QUESTION # 119
One of the nodes in a cluster is not running as fast as the others and the system administrator needs to check the status of the GPUs on that system. What command should be used?
Answer: D
Explanation:
The nvidia-smi (NVIDIA System Management Interface) utility is the primary tool for monitoring and managing the state of NVIDIA GPUs. When a node exhibits "jitter" or lower performance compared to its peers in a cluster, nvidia-smi provides the necessary granular data to identify the bottleneck. It reports critical metrics such as GPU utilization percentages, memory usage, and, most importantly, "Clocks Throttle Reasons." If a GPU is running slower due to power capping, thermal issues, or a hardware error (like an uncorrectable ECC error), nvidia-smi will display this state immediately. While lspci (Option A) can confirm if the GPU is physically visible on the PCIe bus, it cannot provide any telemetry regarding its operational performance or health. iblinkinfo (Option D) is a network-level tool that only monitors InfiniBand link states.
In an AI infrastructure context, nvidia-smi is the first-line diagnostic to determine if a GPU is "healthy" and operating at its intended clock speeds.
NEW QUESTION # 120
You are working with a BlueField-3 DPIJ and wish to programmatically control the PCle link speed and width. Which interface exposes the most direct way to manage these low-level hardware settings on the DPU?
Answer: D
Explanation:
The 'mlxconfig' utility (or its equivalent for newer BlueField generations) is specifically designed for configuring Mellanox/NVlDlA network adapters, including BlueField DPUs. It provides access to a wide range of hardware settings, including PCle link speed and width. NVML is primarily for GPU management, not DPIJ configuration. 'ethtoor manages network interface settings, but not PCle link parameters. Accessing the PCle configuration space directly is possible but complex and risky. Modifying the DTB is a more permanent and low-level approach, typically used during initial board configuration, not for runtime adjustments.
NEW QUESTION # 121
An AI infrastructure team is implementing a highly available training environment. They want maintenance activities or isolated hardware failures to have minimal impact on running workloads while avoiding unnecessary complexity. Which design principle provides the strongest foundation for achieving this objective?
Answer: A
Explanation:
High availability depends on eliminating critical single points of failure through carefully planned redundancy in networking, storage, management, and compute infrastructure. Redundancy should be applied strategically to improve resiliency without creating excessive operational complexity. Consolidating services onto single systems increases operational risk rather than reducing it.
NEW QUESTION # 122
You are managing a cluster of GPU servers for deep learning. You observe that one server consistently exhibits high GPU temperature during training, causing thermal throttling and reduced performance. You've already ensured adequate airflow. Which of the following actions would be MOST effective in addressing this issue?
Answer: A,E
Explanation:
Re-seating the GPU (D) ensures a proper connection between the GPU and the motherboard, which is crucial for effective heat dissipation. Increasing fan speed (E) can directly improve cooling. Lowering the power limit (B) reduces temperature but also reduces performance. Updating drivers (C) may help in some cases, but it is less likely to solve a thermal throttling problem. Lowering the ambient temperature (A) is generally beneficial but might not be specific enough to fix the overheating issue on a single server.
NEW QUESTION # 123
During the physical installation of an NVIDIA GPU, you accidentally touch the gold connector pins on the card. What is the recommended course of action BEFORE inserting the GPU into the PCle slot?
Answer: A
Explanation:
Touching the pins can transfer oils or static electricity that can interfere with the electrical connection. Cleaning with isopropyl alcohol and a lint-free swab removes these contaminants and ensures a proper connection. Blowing, wiping with a dry cloth, or using compressed air may not be sufficient and could even introduce more contaminants.
NEW QUESTION # 124
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