NCP-AIO

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The dumps for NCP-AIO exam was last updated on Jul 04,2025 .

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Question#1

An organization only needs basic network monitoring and validation tools.
Which UFM platform should they use?

A. UFM Enterprise

B. UFM Telemetry

C. UFM Cyber-AI

D. UFM Pro

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The UFM Telemetry platform provides basic network monitoring and validation capabilities, making it suitable for organizations that require foundational insight into their network status without advanced analytics or AI-driven cybersecurity features. Other platforms such as UFM Enterprise or UFM Pro offer broader or more advanced functionalities, while UFM Cyber-AI focuses on AI-driven cybersecurity.

Question#2

You are tasked with deploying a DOCA service on an NVIDIA BlueField DPU in an air-gapped data center environment. The DPU has the required BlueField OS version (3.9.0 or higher) installed, and you have access to the necessary container image from NVIDIA's NGC catalog. However, you need to ensure that the deployment process is successful without an internet connection.
Which of the following steps should you take to deploy the DOCA service on the DPU?

A. Install Docker on the DPU, pull the container directly from NGC, and run it using ‘docker run’ with appropriate environment variables.

B. Pull the container image from NGC using Docker and modify the YAML file before deployment.

C. Manually download the container image and YAML file beforehand, transfer them to the DPU, and deploy using Kubernetes with standalone Kubelet.

D. Use the host system’s Docker engine to pull the container image and deploy it on the DPU via SS

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In an air-gapped environment where the DPU has no internet connectivity, direct pulling of container images from NVIDIA’s NGC catalog is not possible. The recommended approach is tomanually download the required container image and YAML deployment filesfrom a connected system, then transfer these files to the DPU. Deployment is then performed using Kubernetes with a standalone Kubelet on the DPU, which can deploy the preloaded container image offline. This ensures the deployment proceeds successfully without internet access.

Question#3

A Slurm user needs to submit a batch job script for execution tomorrow.
Which command should be used to complete this task?

A. sbatch -begin=tomorrow

B. submit -begin=tomorrow

C. salloc -begin=tomorrow

D. srun -begin=tomorrow

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In Slurm cluster administration, the command to submit a batch job script is sbatch. This command schedules the job to be executed by the Slurm workload manager. The option -begin=tomorrow (or --begin=tomorrow) specifies the start time for the job execution, which in this case is set for tomorrow. The other commands have different purposes:
submit is not a valid Slurm command.
salloc is used to allocate resources interactively but does not submit batch jobs for scheduled execution.
srun runs jobs immediately on allocated resources but is typically used to launch tasks in an active job or interactively, not for batch job submission.
Therefore, the correct command to submit a batch job script for future execution is sbatch -begin=tomorrow.

Question#4

You are an administrator managing a large-scale Kubernetes-based GPU cluster using Run: AI.
To automate repetitive administrative tasks and efficiently manage resources across multiple nodes, which of the following is essential when using the Run:AI Administrator CLI for environments where automation or scripting is required?

A. Use the runai-adm command to directly update Kubernetes nodes without requiring kubectl.

B. Use the CLI to manually allocate specific GPUs to individual jobs for better resource management.

C. Ensure that the Kubernetes configuration file is set up with cluster administrative rights before using the CL

D. Install the CLI on Windows machines to take advantage of its scripting capabilities.

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
When automating tasks with the Run:AI Administrator CLI, it is essential to ensure that theKubernetes configuration file (kubeconfig)is correctly set up with cluster administrative rights. This enables the CLI to interact programmatically with the Kubernetes API for managing nodes, resources, and workloads efficiently. Without proper administrative permissions in the kubeconfig, automated operations will fail due to insufficient rights.
Manual GPU allocation is typically handled by scheduling policies rather than CLI manual assignments. The CLI does not replacekubectlcommands entirely, and installation on Windows is not a critical requirement.
The Run:AI Administrator CLI requires a Kubernetes configuration file with cluster-administrative rights in order to perform automation or scripting tasks across the cluster. Without those rights, the CLI cannot manage nodes or resources programmatically.

Question#5

A Slurm user needs to display real-time information about the running processes and resource usage of a Slurm job.
Which command should be used?

A. smap -j <jobid>

B. scontrol show job <jobid>

C. sstat -j <job(.step)>

D. sinfo -j <jobid>

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The Slurm commandsstatis designed to provide real-time statistics about running jobs, including process-level details and resource usage such as CPU, memory, and GPU utilization. Usingsstat -j <jobid>orsstat -j <jobid. step>allows monitoring of active job resource consumption.
smapis not a standard Slurm command.
scontrol show jobgives job configuration and status but not real-time resource usage.
sinfodisplays node and partition information, not job-specific resource stats.
Therefore,sstatis the correct command for real-time job process and resource monitoring.

Exam Code: NCP-AIO Q & A: 66 Q&As Updated: Jul 04,2025

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Exam Code: NCP-AIO
Q & A: 66 Q&As
Updated: Jul 04,2025

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