최신업데이트된NCP-AII완벽한덤프문제자료덤프문제

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최신 NVIDIA-Certified Professional NCP-AII 무료샘플문제 (Q111-Q116):

질문 # 111
Which of the following methods are considered the most reliable ways to install NVIDIA drivers on a production server running a stable Linux distribution (e.g., RHEL, CentOS, or Ubuntu LTS) to minimize downtime and ensure system stability?

A. Building custom NVIDIA driver packages from source code to match the specific kernel version and system libraries.
B. Using NVIDIA's data center driver program.
C. Using the distribution's package manager (e.g., 'apt' , 'yum' , or 'dnf) to install NVIDIA drivers from the official or curated repositories.
D. Downloading and running the latest .run' installer from the NVIDIA website without any package manager integration.
E. Utilizing NVIDIA's container toolkit and running all A1 workloads inside containers to isolate the driver dependencies.

정답：B,C,E

설명：
Using the distribution's package manager is generally the safest and most reliable method for installing NVIDIA drivers. This approach ensures that dependencies are managed correctly and updates are handled through the system's standard update mechanisms. Containerization isolates the driver and application dependencies. Nvidia's data center driver program provides enterprise-grade support and reliability. Running the .run installer directly can sometimes lead to dependency issues and conflicts. Building from source is complex and not generally recommended for production environments.

질문 # 112
Which of the following are key considerations when choosing between CPU pinning and NUMA (Non-Uniform Memory Access) awareness for a distributed training job on a multi-socket AMD EPYC server with multiple GPUs?

A. Neither CPU pinning nor NUMA awareness are relevant for GPIJ-accelerated workloads, as the GPUs handle all the computation.
B. CPU pinning ensures that each process/thread runs on a specific CPU core, reducing context switching overhead. NUMA awareness ensures that the CPU cores and memory used by a process are located within the same NUMA node, minimizing memory access latency.
C. Both CPU pinning and NUMA awareness are critical for optimizing performance. They should be used in conjunction to achieve optimal performance.
D. NUMA awareness is generally more important than CPU pinning because it directly impacts memory bandwidth.
E. CPU pinning is generally more important than NIJMA awareness because it directly impacts CPU utilization.

정답：B,C

설명：
CPU pinning and NUMA awareness are both important for optimizing performance on multi-socket systems. CPU pinning reduces context switching overhead, while NIJMA awareness reduces memory access latency. Using them together provides the best performance. They ensure the CPU and memory being used are on the same node, which reduces latency. While GPUs handle intense computation, CPUs prepare and feed data to the GPUs, and are critical for performance.

질문 # 113
You are running a Docker container with GPU support using 'nvidia-docker run'. The containerized application unexpectedly fails to detect the GPU. What is the most likely cause?

A. The Docker daemon is not configured to use the NVIDIA runtime.
B. The application within the container is not linked against the CUDA libraries.
C. The =gpus all' flag was not specified when running the container.
D. The Docker image does not include the CUDA toolkit.
E. The NVIDIA drivers are not installed on the host system.

정답：C

설명：
When running containers that need GPU access, it's essential to explicitly request the GPU resources. The '-gpus all' or '-gpus device=..: flag passed to 'docker run' with the NVIDIA runtime allows the container access to the available GPUs. Without this flag, the container operates as if no GPUs are available. Options A, B, C and D, while potentially problematic, are not the most likely cause if 'nvidia-docker run' was used previously.

질문 # 114
Consider a scenario where you are using NCCL (NVIDIA Collective Communications Library) for multi-GPU training across multiple servers connected via NVLink switches. Which NCCL environment variable would you use to specify the network interface to be used for communication?

A. NCCL PORT
B. NCCL NET INTERFACE
C. NCCL SOCKET IFNAME
D. NCCL COMM ID
E. NCCL 1B HCA

정답：A

설명：
is the correct environment variable to specify the network interface used by NCCL. Is for Infiniband, and the other options are not directly related to specifying the network interface.

질문 # 115
When deploying BlueField OS using PXE boot, which of the following files on the PXE server is responsible for specifying the kernel, initrd, and device tree files to be loaded by the client?

A. tftpboot/pxelinux.0
B. dhcpd .conf
C. pxelinux.cfg/default
D. /boot/grub/grub.cfg
E. tftpboot/lpxelinux.0

정답：C

설명：
The 'pxelinux.cfg/default' file (or a similar configuration file based on the client's MAC address or IP address) contains the configuration directives for the PXE bootloader, including specifying the kernel, initrd, and device tree files. 'dhcpd.conf is for DHCP server configuration, 'pxelinux.ff is the PXE bootloader itself, and '/boot/grub/grub.cfg' is a GRUB configuration file, usually on the client's disk.

질문 # 116
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최신 NVIDIA-Certified Professional NCP-AII 무료샘플문제 (Q111-Q116):

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