
- Exam Code: NCP-AII
- Exam Name: NVIDIA AI Infrastructure
- Updated: Sep 03, 2025
- Q & A: 301 Questions and Answers
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1. While running a large A1 training job, you observe the following output from 'nvidia-smi':
GPU O: P2
GPU 1: P2
GPU 2: P2
GPU 3: P2
What does the 'P2' state indicate, and what steps should you take to investigate this further in the context of validating optimal hardware operation?
A) P2 indicates a critical error state; immediately halt the training job and check the system logs for hardware failures.
B) P2 indicates the GPUs are in a high-performance state; no further investigation is needed.
C) P2 indicates the GPUs are in a low-power idle state; investigate if the driver is correctly configured and the workload is properly utilizing the GPUs.
D) P2 indicates the GPU is running at maximum clock speed. Check for thermal throttling.
2. You are installing the NGC CLI using 'pip' behind a corporate proxy. The installation fails due to connection errors. How do you configure pip' to use the proxy during the NGC CLI installation?
A) Download the NGC CLI package manually and install it offline.
B) Set the 'http_proxy' and 'https_proxy' environment variables with the proxy server address and port.
C) Use the '-proxy option with the 'pip install' command, specifying the proxy server address and port.
D) NGC CLI does not support the use of proxies
E) Create a 'pip.conf file in the appropriate directory (e.g., '-/.pip/pip.conf) and configure the proxy settings within the file.
3. A server with 8 NVIDIAAIOO GPUs is experiencing an unexpected shutdown under heavy load. The IPMI logs show a 'Power Supply Deasserted' event immediately preceding the shutdown. After replacing the PSU, the issue persists. What is the MOST likely cause of the continued shutdowns?
A) A faulty CMOS battery.
B) Incompatible GPU driver version.
C) Overcurrent protection (OCP) tripping due to excessive inrush current during GPU startup.
D) Network congestion causing system instability.
E) Insufficient system memory (RAM).
4. You're designing a new InfiniBand network for a distributed deep learning workload. The workload consists of a mix of large-message all- to-all communication and small-message parameter synchronization. Considering the different traffic patterns, what routing strategy would MOST effectively minimize latency and maximize bandwidth utilization across the fabric?
A) Disable multicast.
B) Implement a purely deterministic routing scheme, disabling all adaptive routing features.
C) Rely solely on the default Subnet Manager (SM) with a Min Hop path selection algorithm.
D) Utilize a combination of Adaptive Routing (AR) to handle dynamic traffic patterns and Quality of Service (QOS) to prioritize small-message parameter synchronization.
E) Implement a static routing scheme with manually configured forwarding tables on each switch.
5. You are designing an AI infrastructure cluster for training large language models (LLMs). The dataset consists of 10TB of image data and 5TB of text dat a. You estimate that intermediate training data (checkpoints, temporary files) will require an additional 20TB of storage. You want to use a parallel file system for optimal performance. Considering a replication factor of 2 for data redundancy and a 20% overhead for file system metadata, what is the minimum raw storage capacity you should provision?
A) 92.4 TB
B) 42 TB
C) 84 TB
D) 100.8 TB
E) 70 TB
Solutions:
Question # 1 Answer: C | Question # 2 Answer: B,C,E | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: A |
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