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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional AI Infrastructure Exam |
| Exam Number: | NCP-AII |
| Real Exam Qty: | 60-70 |
| 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) |
| Passing Score: | Pass/Fail only, no numerical score |
| Available Languages: | English |
| Exam Price: | $400 USD |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple-choice questions, Scenario-based items |
| Recommended Training: | NVIDIA AI Infrastructure Training |
| Exam Registration: | NVIDIA Certification Portal |
| Sample Questions: | NVIDIA NCP-AII Sample Questions |
| Exam Way: | Online remote proctored or onsite at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended 2โ3 years of experience in data center infrastructure, Linux administration, and NVIDIA hardware/software environments |
| Official Syllabus URL: | https://www.nvidia.com/en-us/learn/certification/ai-infrastructure-professional/ |
The contents of our NCP-AII study materials are all compiled by industry experts based on the examination outlines and industry development trends over the years. NCP-AII exam guide is not simply a patchwork of test questions, but has its own system and levels of hierarchy, which can make users improve effectively. Our NCP-AII Study Materials contain test papers prepared by examination specialists according to the characteristics and scope of different subjects. And if you study with our NCP-AII exam questions, you are bound to pass the NCP-AII exam.
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NEW QUESTION # 117
A financial services firm is deploying an AI model for fraud detection that requires rapid inference and data retrieval across multiple sites. Which feature should their storage system prioritize?
Answer: C
Explanation:
Fraud detection in financial services is a real-time AI workload. The system must ingest transaction data, retrieve historical customer profiles, and perform inference in milliseconds. This requires a storage architecture that supportsmulti-protocol access(such as S3 for ingestion and POSIX/NFS for inference engines) combined withlow latency. In these environments, storage latency directly impacts the "Time to Decision". An All-Flash storage tier is mandatory, as traditional HDD solutions (Option D) or moderate speed systems (Option B) introduce "Tail Latency" that can cause the fraud detection model to time out during peak transaction windows. Additionally, multi-site synchronization ensures that the latest model weights and historical data are available across different geographic data centers for high availability and localized inference.
NEW QUESTION # 118
You are using NVIDIA Spectrum-X switches in your A1 infrastructure. You observe high latency between two GPU servers during a large distributed training job. After analyzing the switch telemetry, you suspect a suboptimal routing path is contributing to the problem. Which of the following methods offers the MOST granular control for influencing traffic flow within the Spectrum-X fabric to mitigate this?
Answer: C
Explanation:
Adaptive Routing (AR) and Dynamic Load Balancing (DLB) are features specifically designed to dynamically adjust paths based on real-time network conditions in Spectrum-X. This provides the most granular and automated way to respond to congestion and optimize traffic flow compared to static routing or global ECMP adjustments. QOS prioritizes, but doesn't change the chosen path.
NEW QUESTION # 119
During server maintenance, a system administrator wants to ensure that the NVIDIA DGX server has sufficient disk space for operational activities. The administrator is scripting an alert system that will notify the team if the disk space falls below a threshold. Which command could be included in the maintenance script to check the available disk space on the server?
Answer: B
Explanation:
df -h reports filesystem disk usage in human-readable format, and filtering for /var checks available space on a key operational filesystem commonly used for logs, packages, and system activity. This is suitable for a maintenance script that alerts when disk space drops below a defined threshold.
NEW QUESTION # 120
A system administrator needs to enable MIG so that the end user can run multiple jobs on an NVIDIA A100 GPU. What command should be used?
Answer: B
Explanation:
nvidia-smi -i 0 -mig 1 enables MIG mode on GPU index 0. Once MIG mode is enabled, the A100 can be partitioned into multiple GPU instances so separate jobs can run with isolated GPU resources.
NEW QUESTION # 121
An administrator installs NVIDIA GPU drivers on a DGX H100 system with UEFI Secure Boot enabled.
After reboot, the drivers fail to load. What is the first action to resolve this issue?
Answer: A
Explanation:
UEFI Secure Boot is a security standard that ensures only digitally signed code is allowed to execute during the boot process. Since NVIDIA GPU drivers include kernel modules (nvidia.ko), they must be signed by a key trusted by the system's firmware. When drivers are installed on a DGX system with Secure Boot active, the installation process generates a uniqueMachine Owner Key (MOK). However, the Linux kernel will not trust this key until the user manually authenticates it at the "Shim" level before the OS loads. Upon the first reboot after installation, the system enters the "MOK Management" blue screen. The administrator must select
"Enroll MOK" and enter the temporary password created during the driver installation. Failing to do this results in the kernel rejecting the nvidia module, leading to an "Unable to determine the device handle for GPU" error in nvidia-smi. Disabling Secure Boot (Option A) would resolve the symptom but violates the security posture of the AI infrastructure.
NEW QUESTION # 122
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