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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA AI Infrastructure (NCP-AII) Certification Exam |
| Exam Number: | NCP-AII |
| 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) |
| Available Languages: | English |
| Exam Price: | $400 |
| Exam Duration: | 120 minutes |
| Exam Format: | Scenario-based questions, Multiple-choice |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 70-75 |
| Recommended Training: | AI Infrastructure & Operations Fundamentals (NVIDIA Training) AI Infrastructure Professional Workshop |
| 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 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 # 108
You are using GPU Direct RDMA to enable fast data transfer between GPUs across multiple servers. You are experiencing performance degradation and suspect RDMA is not working correctly. How can you verify that GPU Direct RDMA is properly enabled and functioning?
Answer: B,C,D
Explanation:
'dmesg' will show errors during RDMA driver initialization. Sibstat' confirms the InfiniBand interface status. Benchmarking with or validates the actual RDMA throughput. 'nvidia-smi topo -m' shows the topology but not necessarily active RDMA. Pinging only verifies basic network connectivity, not RDMA functionality.
NEW QUESTION # 109
An engineer is tasked with configuring Out-of-Band management for a DGX BasePOD deployment. Which network design will best ensure secure and reliable Out-of-Band management operations?
Answer: C
Explanation:
The best design is to place all BMC and management interfaces on an isolated Out-of-Band network with access restricted by firewall rules. Out-of-Band management provides administrative access for hardware monitoring, remote console, power operations, firmware maintenance, and recovery actions even when the host operating system or production network is unavailable. Because BMC interfaces are powerful administrative control points, they should not share the same network as user traffic or the high-performance compute fabric. NVIDIA DGX guidance recommends restricting IPMI or BMC ports to an isolated, dedicated management network, using a separate firewalled subnet, or using a separate VLAN for BMC traffic when a dedicated network is unavailable. Allowing access from any subnet increases the attack surface and weakens operational security. Sharing the same switch or VLAN as production traffic can also expose management interfaces to congestion or unauthorized access. A dedicated OOB network improves security, reliability, and serviceability for DGX BasePOD operations.
NEW QUESTION # 110
A data scientist reports slow data loading times when training a large language model. The data is stored in a Ceph cluster. You suspect the client-side caching is not properly configured. Which Ceph configuration parameter(s) should you investigate and potentially adjust to improve data loading performance? Select all that apply.
Answer: B,C
Explanation:
Client-side caching in Ceph is primarily controlled by 'client cache size' which determines the amount of memory the Ceph client uses for caching data. 'mds cache size' controls the metadata server cache size, impacting metadata operations. controls the maximum number of background requests a FUSE client can make, influencing concurrency. affects the number of threads used by the OSDs, not the client-side caching, and 'client quota' limits storage usage, not caching.
NEW QUESTION # 111
You are installing multiple NVIDIA GPUs in a server for a deep learning cluster. To optimally utilize the GPUs, which software component(s) are MANDATORY after the physical installation and driver setup? (Select TWO)
Answer: A,B
Explanation:
The NVIDIA CUDA Toolkit provides the necessary libraries and tools for GPU-accelerated computing. A deep learning framework (TensorFlow or PyTorch) is required to build and train deep learning models that leverage the GPUs. While a web browser and text editor might be useful, they are not mandatory. Spreadsheet applications have no purpose here.
NEW QUESTION # 112
Consider the following Python code snippet which attempts to extract Digital Optical Monitoring (DOM) data from a transceiver using a hypothetical library 'transceiver_utils'. The transceiver is connected to port 'eth0'. However, the code consistently throws a 'TransceiverError: Invalid port' exception. What is the MOST likely cause of this error?
Answer: C
Explanation:
The 'Invalid port' error strongly suggests that the specified port identifier ('eth0') is either incorrect or not properly linked to the transceiver by the operating system or networking stack. While other issues like outdated libraries, lack of DOM support, or cable damage could cause problems, the specific error message points directly to a port configuration issue.
NEW QUESTION # 113
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