NCA - AI Infrastructure and Operations v1.0

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What is a key benefit of using NVIDIA GPUDirect RDMA in an AI environment?

  • A. It increases the power efficiency and thermal management of GPUs.
  • B. It reduces the latency and bandwidth overhead of remote memory access between GPUs.
  • C. It enables faster data transfers between GPUs and CPUs without involving the operating system.
  • D. It allows multiple GPUs to share the same memory space without any synchronization.


Answer : B

What enables moving data between GPU memory and local or remote storage without using the CPU?

  • A. NVLink
  • B. GPUDirect P2P
  • C. InfiniBand
  • D. GPUDirect Storage


Answer : D

When using an InfiniBand network for an AI infrastructure, which software component is necessary for the fabric to function?

  • A. Verbs
  • B. MPI
  • C. OpenSM


Answer : C

When deploying high density workloads in a data center, what are the three main resource constraints that need to be considered?

  • A. Processing speed, storage capacity, and network connectivity.
  • B. Power, cooling, and physical space.
  • C. Bandwidth, security, and redundancy.


Answer : B

What is an advantage of InfiniBand over Ethernet?

  • A. InfiniBand always provides higher bandwidth than Ethernet.
  • B. InfiniBand supports RDMA while Ethernet does not.
  • C. InfiniBand offers lower latency than Ethernet.


Answer : C

In a data center, what is the purpose and benefit of a DPU?

  • A. A DPU is responsible for providing backup and disaster recovery solutions.
  • B. A DPU is used for managing physical infrastructure, such as power and cooling.
  • C. A DPU is responsible for managing network connections and security.
  • D. A DPU is designed to offload, accelerate, and isolate infrastructure workloads.


Answer : D

Which of the following statements is true about Kubernetes orchestration?

  • A. It is bare-metal based but it supports containers.
  • B. It has advanced scheduling capabilities to assign jobs to available resources.
  • C. It has no inferencing capabilities.
  • D. It does load balancing to distribute traffic across containers.


Answer : BD

In an AI cluster, what is the purpose job scheduling?

  • A. To gather and analyze cluster data on a regular schedule.
  • B. To monitor and troubleshoot cluster performance.
  • C. To assign workloads to available compute resources.
  • D. To install, update, and configure cluster software.


Answer : C

In an AI cluster, what is the importance of using Slurm?

  • A. Slurm is used for data storage and retrieval in an AI cluster.
  • B. Slurm is responsible for AI model training and inference in an AI cluster.
  • C. Slurm is used for interconnecting nodes in an AI cluster.
  • D. Slurm helps with managing job scheduling and resource allocation in the cluster.


Answer : D

What NVIDA tool should a data center administrator use to monitor NVIDIA GPUs?

  • A. NVIDIA System Monitor
  • B. NetQ
  • C. DCGM


Answer : C

What is the primary command for checking the GPU utilization on a single DGX H100 system?

  • A. nvidia-smi
  • B. ctop
  • C. nvml


Answer : A

What is a common tool for container orchestration in AI clusters?

  • A. Kubernetes
  • B. MLOps
  • C. Slurm
  • D. Apptainer


Answer : A

Which of the following NVIDIA tools is primarily used for monitoring and managing AI infrastructure in the enterprise?

  • A. NVIDIA NeMo System Manager
  • B. NVIDIA Data Center GPU Manager
  • C. NVIDIA DGX Manager
  • D. NVIDIA Base Command Manager


Answer : B

Which NVIDIA software provides the capability to virtualize a GPU?

  • A. Horizon
  • B. vGPU
  • C. virtGPU


Answer : B

When monitoring a GPU-based workload, what is GPU utilization?

  • A. The maximum amount of time a GPU will be used for a workload.
  • B. The GPU memory in use compared to available GPU memory.
  • C. The percentage of time the GPU is actively processing data.
  • D. The number of GPU cores available to the workload.


Answer : C

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Exam contains 97 questions
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