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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA AI Infrastructure (NCP-AII) Certification Exam |
| Exam Number: | NCP-AII |
| Exam Price: | $400 |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Exam Format: | Scenario-based questions, Multiple-choice |
| Related Certifications: | NVIDIA-Certified Professional AI Networking (NCP-AIN) NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO) NVIDIA-Certified Professional AI Operations (NCP-AIO) |
| Real Exam Qty: | 70-75 |
| Recommended Training: | AI Infrastructure Professional Workshop AI Infrastructure & Operations Fundamentals (NVIDIA Training) |
| Exam Registration: | NVIDIA AI Infrastructure Certification Page Official NVIDIA Certification Portal |
| Sample Questions: | NVIDIA NCP-AII Sample Questions |
| Exam Way: | Online proctored exam (remote) or authorized test center depending on region |
| Pre Condition: | Recommended 2โ3 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 # 43
A system administrator needs to install the NVIDIA Container Toolkit and perform the following actions:
- Update apt
- Issue the install command
- Configure the Docker daemon to recognize the NVIDIA Container Runtime
- Restart the Docker daemon to complete the installation.
What step should be taken first?
Answer: A
Explanation:
Before running apt update and installing the NVIDIA Container Toolkit package, the NVIDIA package repository must be added so the package manager can locate and install the correct toolkit packages.
NEW QUESTION # 44
You are configuring a BlueField-3 DPLJ for a cloud-native application using Kubernetes. You want to offload container networking using OVS (Open vSwitch). Which of the following configuration steps are NECESSARY to integrate the BlueField-3 DPIJ with the Kubernetes cluster for network offload? (Select TWO)
Answer: A,E
Explanation:
The NVIDIA BlueField Kubernetes Operator is essential for automating the management and configuration of the DPIJ within the Kubernetes environment. This includes creating and managing OVS bridges. Integrating the Kubernetes CNI to use the OVS bridge managed by the BlueField DPIJ allows pod networking traffic to be offloaded to the DPU. Installing Mellanox OFED everywhere isn't needed with the operator. While you could manually create the bridges (E), the operator is the preferred method. The DPIJ acting as a DHCP server (D) is not a requirement for simple network offload.
NEW QUESTION # 45
An AI inference workload running on a server equipped with NVIDIA TensorRT is experiencing intermittent performance degradation. Profiling reveals potential issues with GPU utilization. Which command-line tool is best suited to provide real-time GPU performance metrics, including utilization, memory usage, and power consumption, during workload execution?
Answer: B
Explanation:
'nvidia-smi' (NVIDIA System Management Interface) is the primary tool for monitoring GPU performance in real-time, including utilization, memory usage, and power consumption. While 'nvprof is a profiler, it's more suited for in-depth analysis after the run. 'nvitop' and gpustat are third-party tools that provide similar functionalities as -nvidia-smr. 'tegrastats' is specific to NVIDIA Jetson devices.
NEW QUESTION # 46
You are setting up a new A1 server with multiple NVIDIA GPUs for deep learning workloads. You need to install the NVIDIA Container Toolkit. After installing the necessary packages using your distribution's package manager, what is the most crucial next step to ensure proper integration with Docker?
Answer: C
Explanation:
The 'nvidia-ctk runtime configure -runtime=docker' command is essential to configure Docker to use the NVIDIA Container Runtime. This integrates the NVIDIA drivers and libraries within the Docker environment, allowing containers to access the GPUs. While restarting Docker is often helpful, 'nvidia-ctk' performs the necessary configuration steps. Rebooting is not always necessary after just installing a package, and manually editing 'daemon.json' is generally not the recommended approach. 'nvidia-smi' simply reports the status of the GPUs, it doesn't configure the runtime.
NEW QUESTION # 47
You are tasked with automating the BlueField OS deployment process across a large number of SmartNICs. Which of the following methods is MOST suitable for this task?
Answer: B
Explanation:
PXE boot allows for automated and scalable OS deployment over the network, making it the most suitable option for managing a large number of SmartNlCs. Manually flashing or using USB drives is not practical at scale, and using 'dd' directly can be risky and error-prone without proper checks.
NEW QUESTION # 48
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