Free NCA-AIIO Exam Braindumps
AI Infrastructure and Operations Questions 36–40 (page: 9)

Updated On: 1-Sep-2026

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

  1. A DPU is responsible for providing backup and disaster recovery solutions.
  2. A DPU is used for managing physical infrastructure, such as power and cooling.
  3. A DPU is responsible for managing network connections and security.
  4. A DPU is designed to offload, accelerate, and isolate infrastructure workloads.

Answer(s): D

Explanation:

A Data Processing Unit (DPU) is a programmable offload engine that handles infrastructure tasks, such as networking, storage, and security functions, separately from the CPU, improving performance, reducing CPU overhead, and isolating those workloads for better security and manageability.



Which of the following statements is true about Kubernetes orchestration?

  1. It is bare-metal based but it supports containers.
  2. It has advanced scheduling capabilities to assign jobs to available resources.
  3. It has no inferencing capabilities.
  4. It does load balancing to distribute traffic across containers.

Answer(s): B,D

Explanation:

Kubernetes provides sophisticated scheduling to place workloads on nodes based on resource requests and constraints, and its built-in Service abstraction load-balances network traffic across pods.



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

  1. To gather and analyze cluster data on a regular schedule.
  2. To monitor and troubleshoot cluster performance.
  3. To assign workloads to available compute resources.
  4. To install, update, and configure cluster software.

Answer(s): C

Explanation:

Job scheduling in an AI cluster assigns incoming workloads to available compute resources, ensuring efficient utilization and balancing of GPU/CPU capacity for training and inference tasks.



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

  1. Slurm is used for data storage and retrieval in an AI cluster.
  2. Slurm is responsible for AI model training and inference in an AI cluster.
  3. Slurm is used for interconnecting nodes in an AI cluster.
  4. Slurm helps with managing job scheduling and resource allocation in the cluster.

Answer(s): D

Explanation:

Slurm is a workload manager that handles job scheduling and resource allocation, ensuring AI training and inference tasks are placed on the right nodes with available GPUs/CPUs.



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

  1. NVIDIA System Monitor
  2. NetQ
  3. DCGM

Answer(s): C

Explanation:

NVIDIA Data Center GPU Manager (DCGM) provides real-time health monitoring, telemetry, and diagnostics specifically for NVIDIA GPUs in large-scale data center deployments, making it the ideal tool for administrators to track GPU performance and reliability.



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