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[General] NCP-AIO Reliable Test Price, NCP-AIO Certification Test Questions

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【General】 NCP-AIO Reliable Test Price, NCP-AIO Certification Test Questions

Posted at 1/25/2026 05:15:07      View:82 | Replies:0        Print      Only Author   [Copy Link] 1#
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NVIDIA AI Operations Sample Questions (Q61-Q66):NEW QUESTION # 61
You are troubleshooting a performance bottleneck in a distributed training job using NCCL. You suspect the network is the issue. Which Magnum IO component is MOST relevant to investigate first?
  • A. Storage Direct
  • B. NVSHMEM
  • C. CUDA-Aware MPl
  • D. GPUDirect RDMA
  • E. GPU Affinity
Answer: D
Explanation:
GPUDirect RDMA allows GPUs to directly access network adapters, bypassing the CPU and reducing latency for inter-GPU communication, which is crucial for NCCL-based distributed training. Therefore, it's the most relevant component to investigate for network-related bottlenecks. NVSHMEM is more related to shared memory programming. CUDA-Aware MPI handles inter-process communication, but GPUDirect RDMA directly affects the network path. GPU Affinity ensures processes run on the correct GPUs but doesn't directly address network performance. Storage Direct helps bypass the CPU for data access, not inter-GPU communication.

NEW QUESTION # 62
You are configuring cloudbursting for your on-premises cluster using BCM, and you plan to extend the cluster into both AWS and Azure.
What is a key requirement for enabling cloudbursting across multiple cloud providers?
  • A. BCM automatically detects and configures credentials for all supported cloud providers without requiring admin input.
  • B. You need to set up a single set of credentials that works across both AWS and Azure for seamless integration.
  • C. You only need to configure credentials for one cloud provider, as BCM will automatically replicate them across other providers.
  • D. You must configure separate credentials for each cloud provider in BCM to enable their use in the cluster extension process.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
When configuring BCM for cloudbursting across multiple cloud providers such as AWS and Azure, it is necessary toconfigure separate credentials for each cloud providerwithin BCM. This allows BCM to authenticate and manage resources appropriately in each distinct cloud environment. BCM does not automatically replicate or detect credentials, nor can a single credential set typically work across providers.

NEW QUESTION # 63
What should an administrator check if GPU-to-GPU communication is slow in a distributed system using Magnum IO?
  • A. Verify the configuration of NCCL or NVSHMEM.
  • B. Disable InfiniBand to reduce network complexity.
  • C. Increase the system's RAM capacity to improve communication speed.
  • D. Limit the number of GPUs used in the system to reduce congestion.
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Slow GPU-to-GPU communication in distributed systems often relates to theconfiguration of communication libraries such as NCCL (NVIDIA Collective Communications Library) or NVSHMEM.
Ensuring these libraries are properly configured and optimized is critical for efficient GPU communication.
Limiting GPUs or increasing RAM does not directly improve communication speed, and disabling InfiniBand would degrade performance.

NEW QUESTION # 64
An administrator needs to submit a script named "my_script.sh" to Slurm and specify a custom output file named "output.txt" for storing the job's standard output and error.
Which 'sbatch' option should be used?
  • A. =-e output.txt
  • B. =-o output.txt
  • C. =-output-output output.txt
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The correctsbatchoption to specify a custom output file for both standard output and error is-o output.txt(or-- output=output.txt). This option directs Slurm to write the job's standard output and error streams to the specified file. The-eoption is for standard error only, and-output-outputis not a valid option.

NEW QUESTION # 65
An AI data center is planning to use NVMe over Fabrics (NVMe-oF) for its storage infrastructure. What are the primary advantages of NVMe-oF compared to traditional storage protocols like iSCSI or Fibre Channel?
  • A. Reduced cost due to the use of commodity hardware.
  • B. Lower latency and higher throughput for accessing NVMe SSDs over a network.
  • C. Native support for object storage interfaces.
  • D. Improved data security through built-in encryption.
  • E. Simplified storage management and configuration.
Answer: B
Explanation:
NVMe-oF provides lower latency and higher throughput compared to iSCSI or Fibre Channel because it's designed to leverage the performance of NVMe SSDs over a network fabric. While NVMe-oF can potentially simplify management and reduce costs in some cases, its primary advantage is performance.

NEW QUESTION # 66
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