NCP-AIO NVIDIA Certified Professional AI Operations Exam Free Dumps

dumps2025-07-05T09:49:53+08:00

Passing NCP-AIO NVIDIA Certified Professional AI Operations exam is not difficult now. There are 60-70 questions in real NVIDIA NCP-AIO exam, and you have 90 minutes to finish the test. The available language is English. The exam price is $400. NVIDIA-Certified Professional AI Operations certification is valid for two years from issuance. We provide the latest NVIDIA Certified Professional NCP-AIO exam dumps, which can help you pass the test easily. Free NVIDIA Certified Professional AI Operations NCP-AIO exam dumps are available below.

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1. A data scientist is training a deep learning model and notices slower than expected training times. The data scientist alerts a system administrator to inspect the issue. The system administrator suspects the disk IO is the issue.

What command should be used?

tcpdump

iostat

nvidia-smi

htop

2. A system administrator of a high-performance computing (HPC) cluster that uses an InfiniBand fabric for high-speed interconnects between nodes received reports from researchers that they are experiencing unusually slow data transfer rates between two specific compute nodes. The system administrator needs to ensure the path between these two nodes is optimal.

What command should be used?

ibtracert

ibstatus

ibping

ibnetdiscover

3. 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?

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

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

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

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

4. A system administrator needs to scale a Kubernetes Job to 4 replicas.

What command should be used?

kubectl stretch job --replicas=4

kubectl autoscale deployment job --min=1 --max=10

kubectl scale job --replicas=4

kubectl scale job -r 4

5. An administrator is troubleshooting a bottleneck in a deep learning run time and needs consistent data feed rates to GPUs.

Which storage metric should be used?

Disk I/O operations per second (IOPS)

Disk free space

Sequential read speed

Disk utilization in performance manager

6. 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?

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

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

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

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

7. A system administrator is looking to set up virtual machines in an HGX environment with NVIDIA Fabric Manager.

What three (3) tasks will Fabric Manager accomplish? (Choose three.)

Configures routing among NVSwitch ports.

Installs GPU operator

Coordinates with the NVSwitch driver to train NVSwitch to NVSwitch NVLink interconnects.

Coordinates with the GPU driver to initialize and train NVSwitch to GPU NVLink interconnects.

Installs vGPU driver as part of the Fabric Manager Package.

8. A system administrator is experiencing issues with Docker containers failing to start due to volume mounting problems. They suspect the issue is related to incorrect file permissions on shared volumes between the host and containers.

How should the administrator troubleshoot this issue?

Use the docker logs command to review the logs for error messages related to volume mounting and permissions.

Reinstall Docker to reset all configurations and resolve potential volume mounting issues.

Disable all shared folders between the host and container to prevent volume mounting errors.

Reduce the size of the mounted volumes to avoid permission conflicts during container startup.

9. An instance of NVIDIA Fabric Manager service is running on an HGX system with KVM. A System Administrator is troubleshooting NVLink partitioning.

By default, what is the GPU polling subsystem set to?

Every 1 second

Every 30 seconds

Every 60 seconds

Every 10 seconds

10. Which of the following correctly identifies the key components of a Kubernetes cluster and their roles?

The control plane consists of the kube-apiserver, etcd, kube-scheduler, and kube-controller-manager, while worker nodes run kubelet and kube-proxy.

Worker nodes manage the kube-apiserver and etcd, while the control plane handles all container runtimes.

The control plane is responsible for running all application containers, while worker nodes manage network traffic through etcd.

The control plane includes the kubelet and kube-proxy, and worker nodes are responsible for running etcd and the scheduler.

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11. Your organization is running multiple AI models on a single A100 GPU using MIG in a multi-tenant environment. One of the tenants reports a performance issue, but you notice that other tenants are unaffected.

What feature of MIG ensures that one tenant's workload does not impact others?

Hardware-level isolation of memory, cache, and compute resources for each instance.

Dynamic resource allocation based on workload demand.

Shared memory access across all instances.

Automatic scaling of instances based on workload size.

12. After completing the installation of a Kubernetes cluster on your NVIDIA DGX systems using BCM, how can you verify that all worker nodes are properly registered and ready?

Run kubectl get nodes to verify that all worker nodes show a status of “Ready”.

Run kubectl get pods to check if all worker pods are running as expected.

Check each node manually by logging in via SSH and verifying system status with systemctl.

13. An organization only needs basic network monitoring and validation tools.

Which UFM platform should they use?

UFM Enterprise

UFM Telemetry

UFM Cyber-AI

UFM Pro

14. A system administrator needs to configure and manage multiple installations of NVIDIA hardware ranging from single DGX BasePOD to SuperPOD.

Which software stack should be used?

NetQ

Fleet Command

Magnum IO

Base Command Manager

15. A system administrator wants to run these two commands in Base Command Manager. Main showprofile device status apc01

What command should the system administrator use from the management node system shell?

cmsh -c “main showprofile; device status apc01”

cmsh -p “main showprofile; device status apc01”

system -c “main showprofile; device status apc01”

cmsh-system -c “main showprofile; device status apc01”

16. An administrator wants to check if the BlueMan service can access the DPU.

How can this be done?

Via system logs

Via the DOCA Telemetry Service (DTS)

Via a lightweight database operating in the DPU server

Via Linux dump files

17. A DGX H100 system in a cluster is showing performance issues when running jobs.

Which command should be run to generate system logs related to the health report?

nvsm show logs --save

nvsm get logs

nvsm dump health

nvsm health --dump-log

18. A system administrator is troubleshooting a Docker container that crashes unexpectedly due to a segmentation fault. They want to generate and analyze core dumps to identify the root cause of the crash.

Why would generating core dumps be a critical step in troubleshooting this issue?

Core dumps prevent future crashes by stopping any further execution of the faulty process.

Core dumps provide real-time logs that can be used to monitor ongoing application performance.

Core dumps restore the process to its previous state, often fixing the error-causing crash.

Core dumps capture the memory state of the process at the time of the crash.

19. You are a Solutions Architect designing a data center infrastructure for a cloud-based AI application that requires high-performance networking, storage, and security. You need to choose a software framework to program the NVIDIA BlueField DPUs that will be used in the infrastructure. The framework must support the development of custom applications and services, as well as enable tailored solutions for specific workloads. Additionally, the framework should allow for the integration of storage services such as NVMe over Fabrics (NVMe-oF) and elastic block storage.

Which framework should you choose?

NVIDIA TensorRT

NVIDIA CUDA

NVIDIA NSight

NVIDIA DOCA

20. You are using BCM for configuring an active-passive high availability (HA) cluster for a firewall system.

To ensure seamless failover, what is one best practice related to session synchronization between the active and passive nodes?

Configure both nodes with different zone names to avoid conflicts during failover.

Use heartbeat network for session synchronization between active and passive nodes.

Ensure that both nodes use different firewall models for redundancy.

Set up manual synchronization procedures to transfer session data when needed.

NCP-AIO NVIDIA Certified Professional AI Operations Exam Free Dumps

NCP-AIO NVIDIA Certified Professional AI Operations Exam Free Dumps

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