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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA AI Infrastructure (NCP-AII) Certification Exam |
| Exam Number: | NCP-AII |
| Available Languages: | English |
| Related Certifications: | NVIDIA-Certified Professional AI Operations (NCP-AIO) NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO) NVIDIA-Certified Professional AI Networking (NCP-AIN) |
| Exam Format: | Scenario-based questions, Multiple-choice |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 70-75 |
| Exam Price: | $400 |
| 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/ |
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NEW QUESTION # 159
You are tasked with validating the cooling system for a high-density AI cluster using NVIDIA Blackwell GPUs, which generate up to 120 kW of power per rack. What should you prioritize during validation?
Answer: C
Explanation:
Blackwell rack-scale systems can generate extremely high heat loads, so cooling validation must confirm that the facility cooling architecture can efficiently remove that heat at full rack density.
Liquid-to-air heat exchangers are designed to support high-density AI racks by transferring heat from liquid cooling loops into the facility air-cooling environment.
NEW QUESTION # 160
A system administrator needs to improve the performance of MPI operations and use SHARP.
Which items should be offloaded?
Answer: B
Explanation:
SHARP improves MPI performance by offloading collective operations from the host CPU to the switch network. This allows reductions and other collective communications to be processed in- network, reducing latency, CPU overhead, and communication bottlenecks in large-scale AI/HPC workloads.
NEW QUESTION # 161
You have a server with two NVIDIA GPUs connected via NVLink. You want to verify that NVLink is functioning correctly. Which command(s) or tool(s) can you use to check the NVLink status and bandwidth?
Answer: D,E
Explanation:
'nvidia-smi nvlink -statuS provides a direct overview of the NVLink status, including link speed and errors. 'nvidia-smi topo shows the topology of the GPUs and how they are connected, including NVLink connections. 'Ispci' lists PCl devices but doesn't provide NVLink- specific information. 'nvcc -version' checks the CUDA compiler version. 'nvidia-settings' is a GUI tool that can display some information, but it's less precise than 'nvidia-smr for NVLink status.
NEW QUESTION # 162
After installing a new NVIDIA GPU in an AI server, you run 'nvidia-smi' and receive the error 'NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.' You have verified the driver is installed. What is the MOST likely cause?
Answer: D
Explanation:
A poorly seated GPU often leads to communication failures between the driver and the card. While power, BIOS, and driver versions can be issues, a seating problem is the most common first suspect. Secure boot issues are also possible.
NEW QUESTION # 163
A leaf switch shows " FW Version Mismatch " alerts for transceivers after cluster expansion. Which tool validates transceiver firmware against expected versions?
Answer: C
Explanation:
Firmware consistency is a pillar of stable InfiniBand fabric performance. When a cluster is expanded, new transceivers or cables may arrive with newer or older firmware than the existing base, leading to " FW Version Mismatch " alerts in management consoles like UFM (Unified Fabric Manager). The flint tool (or mstflint) is the correct utility for querying the specific firmware levels embedded within the transceivers.
While iblinkinfo provides data on link speeds and port states, it does not provide the deep hardware-level firmware telemetry required for version validation. flint allows the administrator to query the device, compare the current burn version against the target image, and perform the necessary updates to bring the cluster into a uniform state. In NVIDIA AI infrastructure, maintaining uniform firmware across the fabric ensures that features like Adaptive Routing and Congestion Control operate predictably. Without version parity, inconsistent behavior in Forward Error Correction (FEC) or link-up negotiation can lead to intermittent performance drops that are difficult to diagnose at the application (NCCL) level.
NEW QUESTION # 164
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