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NVIDIA NCP-AII Formal Test, Valid NCP-AII Test Materials
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NVIDIA AI Infrastructure Sample Questions (Q26-Q31):
NEW QUESTION # 26
After installing a new NVIDIA GPU in an AI server, you run 'nvidia-smi' and receive the error 'NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.' You have verified the driver is installed. What is the MOST likely cause?
- A. The system BIOS needs to be updated.
- B. The GPU is not properly seated in the PCIe slot.
- C. The secure boot is enabled preventing the driver from initializing.
- D. The wrong driver version is installed for the installed CUDA version.
- E. The power supply is insufficient to power the GPU.
Answer: B
Explanation:
A poorly seated GPU often leads to communication failures between the driver and the card. While power, BIOS, and driver versions can be issues, a seating problem is the most common first suspect. Secure boot issues are also possible.
NEW QUESTION # 27
Which of the following storage technologies are most suitable for storing large training datasets used in deep learning, considering both performance and cost?
- A. A parallel file system (e.g., BeeGFS, Lustre) deployed on NVMe SSDs
- B. High-performance NVMe SSDs in a local RAID configuration
- C. Tape backup systems
- D. Object storage (e.g., AWS S3, Azure Blob Storage) accessed directly from the training nodes
- E. SATA HDDs in a network-attached storage (NAS) configuration
Answer: A
Explanation:
NVMe SSDs in a local RAID offer high performance and relatively low latency, making them suitable for data that needs to be accessed quickly. Parallel file systems deployed on NVMe SSDs provide the highest performance and scalability, especially for large datasets accessed concurrently by multiple training nodes. Object storage can be used for initial data ingest or archival but is generally slower than local or parallel file systems for training. SATA HDDs and Tape backup systems are a low performing option for this case.
NEW QUESTION # 28
Consider a scenario where you need to isolate GPU workloads in a multi-tenant Kubernetes cluster. Which of the following Kubernetes constructs would be MOST suitable for achieving strong isolation at both the resource and network level?
- A. Using taints and tolerations to dedicate GPU nodes to specific workloads.
- B. Using namespaces with resource quotas and network policies.
- C. Using node affinity only.
- D. Using labels and selectors to schedule workloads on specific GPU nodes.
- E. Using pod affinity and anti-affinity rules to control pod placement.
Answer: B
Explanation:
Namespaces provide logical isolation within a Kubernetes cluster. Resource quotas limit the resources (including GPIJs) that a namespace can consume, while network policies control network traffic between namespaces, ensuring strong isolation. Options B, C, D, and E provide some level of control over pod placement but do not offer the same level of resource and network isolation as namespaces with resource quotas and network policies.
NEW QUESTION # 29
Which command-line tool is typically used to monitor the status and performance of an NVIDIA NVLink Switch?
- A. Ispci
- B. ibstat
- C. rocminfo
- D. nvswitch-cli
- E. nvidia-smi
Answer: D
Explanation:
While 'nvidia-smr provides information about GPUs, 'nvswitch-cli' (or a similar vendor-provided tool, depending on the specific switch) is specifically designed for managing and monitoring the NVLink Switch itself. 'ibstat is for Infiniband, 'rocminfo' for AMD GPUs and 'Ispci' list PCl devices.
NEW QUESTION # 30
An NVIDIA-based AI server is experiencing intermittent network connectivity issues. You suspect a problem with the SFP28 transceiver connecting the server to the network. You want to use command-line tools to retrieve the DOM (Digital Optical Monitoring) information from the transceiver to diagnose the problem. Assuming you have appropriate network administration privileges, which command sequence is the MOST likely to provide the necessary DOM data (assuming 'eth0' is the interface)?
- A.
- B.
- C.
- D.
- E.
Answer: B
Explanation:
The 'ethtool -m ethos command (with appropriate sudo privileges) is specifically designed to retrieve module EEPROM information, including DOM data, from a network interface. The other commands are not designed for this purpose. 'ethtool eth01 grep transceiver' may provide some basic transceiver information but won't provide details like temperature or power levels. link show' focuses on link state, not module details. 'ifconfig' is deprecated and doesn't show detailed transceiver information. 'Ishw- provides hardware inventory but not real-time DOM.
NEW QUESTION # 31
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