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NVIDIA NCP-AII Certification Sample Questions - Valid NCP-AII Test Simulator
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NVIDIA AI Infrastructure Sample Questions (Q129-Q134):
NEW QUESTION # 129
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)
- A. NVIDIA CUDA Toolkit.
- B. A text editor.
- C. A web browser.
- D. A deep learning framework like TensorFlow or PyTorch.
- E. A spreadsheet program.
Answer: A,D
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 # 130
You encounter a situation where an NVIDIA driver installation fails with the error message 'ERROR: Unable to load the kernel module 'nvidia.ko'. This may be because it was built for another kernel...'. Assuming the kernel headers are correctly installed, what is the most likely cause and solution?
- A. The DKMS module build failed. Solution: Manually rebuild the DKMS module using 'dkms autoinstall'.
- B. The system is running out of disk space in '/tmp'. Solution: Free up space or remount S/tmp' with more space.
- C. Secure Boot is enabled, and the NVIDIA kernel module is not signed. Solution: Sign the NVIDIA kernel module with a machine owner key (MOK).
- D. The NVIDIA driver version is incompatible with the current kernel version. Solution: Install a compatible driver version.
- E. The 'nouveau' driver is still loaded. Solution: Blacklist 'nouveau- and reboot.
Answer: A,C,D
Explanation:
The error message indicates a mismatch between the driver and kernel. This can happen due to incompatibility, unsigned modules due to Secure Boot, or a failed DKMS build. Installing a compatible version, MOK signing, and rebuilding DKMS are valid solutions. While nouveau can interfere, the error message points specifically to a module loading problem, making the other options more likely. Lack of disk space is a less common, but possible, issue.
NEW QUESTION # 131
You have a BlueField-2 DPU running Ubuntu. After upgrading the MLNX OFED drivers, the DPU fails to boot properly. You are presented with a GRUB prompt. Which sequence of commands is most likely to help you boot into a working kernel?
- A.
- B.
- C.
- D.
- E.
Answer: D
Explanation:
When a boot fails after a driver upgrade, it's often because the new kernel/initrd is faulty. The most likely solution is to boot into the previous , known-good kernel. Option C attempts this by specifying '-old' in the kernel and initrd filenames, attempting to load the older, hopefully functional, kernel. It assumes the root partition is /dev/sda2 but is booting an older kernel. Option A uses '$(uname -r)' which likely resolves to the problematic kernel that caused the failure. Option B lacks version information and may also load a broken kernel. Option D uses /dev/nvme0n1p2, which might be incorrect for the root partition on the BlueField. Option E will try to load grub normally, which might fail again.
NEW QUESTION # 132
You need to remotely monitor the GPU temperature and utilization of a server without installing any additional software on the server itself. Assuming you have network access to the server's BMC (Baseboard Management Controller), which protocol and standard data format would BEST facilitate this?
- A. SSH with plain text output from 'nvidia-smi'
- B. SNMP (Simple Network Management Protocol) with MIB (Management Information Base)
- C. Syslog with CSV (Comma-separated Values)
- D. IPMI (Intelligent Platform Management Interface) with SDR (Sensor Data Records)
- E. HTTP with JSON
Answer: D
Explanation:
IPMI is a standard interface for out-of-band server management, commonly used for monitoring hardware sensors like temperature and utilization. BMCs typically support IPMI. SDRs are the data format used by IPMI for sensor data. SNMP is also an option, but IPMI is more directly tied to hardware monitoring. The rest are less efficient or require additional software installation.
NEW QUESTION # 133
A large A1 model is training using a dataset stored on a network-attached storage (NAS) device. The data transfer speeds are significantly lower than expected. After initial troubleshooting, you discover that the MTU (Maximum Transmission Unit) size on the network interfaces of the training server and the NAS device are mismatched. The server is configured with an MTIJ of 1500, while the NAS device is configured with an MTU of 9000 (Jumbo Frames). What is the MOST likely consequence of this MTU mismatch, and what action should you take?
- A. The data transfer will be limited to the lowest common MTU size, but there will be no significant performance impact. No action is required.
- B. Data packets will be fragmented, leading to increased overhead and reduced performance. Configure both the server and the NAS device to use the same MTU size (either 1500 or 9000).
- C. The connection between the server and the NAS device will be unreliable, resulting in data corruption. Increase the MTU size on both devices to the maximum supported value.
- D. Data packets will be retransmitted, increasing the latency but still getting the full throughput. Configure the server to use Path MTU Discovery (PMTUD).
- E. The server will be unable to communicate with the NAS device. Reduce the MTU size on the server to match the MTU size of the NAS device.
Answer: B
Explanation:
An MTU mismatch (option A) will cause fragmentation, where larger packets are broken down into smaller packets before being transmitted, adding overhead and reducing performance. The solution is to configure both devices to use the same MTU size. Choosing 1500 ensures compatibility, while 9000 requires the entire network path to support jumbo frames.
NEW QUESTION # 134
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