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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA Certified Professional – AI Infrastructure |
| Exam Number: | NCP-AII |
| Exam Format: | Multiple Select, Multiple Choice |
| Passing Score: | 700 (scale of 0-1000) |
| Real Exam Qty: | 50 |
| Exam Duration: | 90 minutes |
| Related Certifications: | NCP-DES NCP-AI |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Exam Price: | $195 USD |
| Sample Questions: | NVIDIA NCP-AII Sample Questions |
| Exam Way: | Online proctored exam (Pearson VUE) |
| Pre Condition: | Recommended: hands-on experience with NVIDIA AI infrastructure products; basic knowledge of Linux, networking, and data center operations |
| Official Syllabus URL: | https://www.nvidia.com/en-us/certifications/ncp-ai-infra/ |
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NEW QUESTION # 110
A customer has just completed the first boot of their DGX system and is prompted to create an administrative user. What is the correct approach for setting up this user to ensure secure BMC and GRUB access?
Answer: C
Explanation:
During the initial "first boot" setup of an NVIDIA DGX system (such as the DGX H100 or A100), the installation wizard requires the creation of a primary administrative user. This account is pivotal because it is used not only for local OS login but is also synchronized to provide access to the Baseboard Management Controller (BMC) and the GRUB bootloader. NVIDIA best practices emphasize security by mandating the use of a unique, strong password. Using a lower-case username is a standard Linux convention that ensures compatibility across various authentication services. By setting this up correctly during the first boot, the system ensures that "out-of-band" management (via BMC) and "pre-boot" configuration (via GRUB) are protected from unauthorized access. Relying on default credentials (Option B) or weak passwords (Option D) is a significant security risk in AI infrastructure, as the BMC often has high-level control over power, firmware, and remote console access.
NEW QUESTION # 111
A user wants to restrict a Docker container to use only GPUs 0 and 2. Which command achieves this?
Answer: D
Explanation:
Docker GPU access can be restricted with the --gpus flag by specifying the target GPU device IDs. Using the device filter limits the container so it can see and use only GPUs 0 and 2 rather than all GPUs on the host.
NEW QUESTION # 112
A system administrator is installing a GPU into a server and needs to avoid damaging the device. What item should be used?
Answer: D
Explanation:
High-performance NVIDIA GPUs, such as the H100 or A100, are highly sensitive toElectrostatic Discharge (ESD). A static spark that a human cannot even feel (less than 3,000 volts) is enough to permanently damage the microscopic circuits within the GPU die or the HBM (High Bandwidth Memory) modules. AnAnti-ESD strap(or wrist strap) is the mandatory safety item for any technician handling internal server components. It works by grounding the technician, ensuring that any static charge built up on their body is safely dissipated before they touch the hardware. While gloves (Option B) might protect against sharp edges, they do not prevent ESD unless they are specifically rated as ESD-safe. Using an electric screwdriver (Option D) is generally discouraged for sensitive components to prevent over-tightening or mechanical stress. Therefore, an ESD strap is the single most critical tool for preventing "Infant Mortality" of expensive AI hardware during physical installation.
NEW QUESTION # 113
During East-West fabric validation on a 64-GPU cluster, an engineer runs all_reduce_perf and observes an algorithm bandwidth of 350 GB/s and bus bandwidth of 656 GB/s. What does this indicate about the fabric performance?
Answer: A
NEW QUESTION # 114
You've installed a DGX A100 server During the initial hardware validation, you observe that one of the GPUs is consistently reporting lower performance compared to the others. Which troubleshooting steps should you take, in the CORRECT order, to diagnose the problem?
Answer: D
Explanation:
Checking temperature is crucial first to avoid damaging the GPU if it's overheating. Reseating addresses potential connectivity issues. Running diagnostics identifies hardware faults. Updating the driver should be done after hardware checks to ensure the card isn't faulty.
NEW QUESTION # 115
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