Prepare NCP-AIO Exam with Using NCP-AIO Dump Questions

If you are serious about passing your NVIDIA NCP-AIO certification exam, practicing with NCP-AIO dumps questions is an essential step in your preparation process. These NCP-AIO dumps will help you assess your knowledge, identify your strengths and weaknesses, and improve your chances of passing the exam on the first try. So why wait? Start practicing today and give yourself the best possible chance of success! Test free NCP-AIO exam dumps questions below.

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1. 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.

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2. An administrator is troubleshooting issues with an NVIDIA Unified Fabric Manager Enterprise (UFM) installation and notices that the UFM server is unable to communicate with InfiniBand switches.

What step should be taken to address the issue?

Reboot the UFM server to refresh network connections.

Install additional GPUs in the UFM server to boost connectivity.

Disable the firewall on the UFM server to allow communication.

Verify the subnet manager configuration on the InfiniBand switches.

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3. 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

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4. An administrator requires full access to the NGC Base Command Platform CLI.

Which command should be used to accomplish this action?

ngc set API

ngc config set

ngc config BCP

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5. You are managing a deep learning workload on a Slurm cluster with multiple GPU nodes, but you notice that jobs requesting multiple GPUs are waiting for long periods even though there are available resources on some nodes.

How would you optimize job scheduling for multi-GPU workloads?

Reduce memory allocation per job so more jobs can run concurrently, freeing up resources faster for multi-GPU workloads.

Ensure that job scripts use --gres=gpu: and configure Slurm’s backfill scheduler to prioritize multi-GPU jobs efficiently.

Set up separate partitions for single-GPU and multi-GPU jobs to avoid resource conflicts between them.

Increase time limits for smaller jobs so they don’t interfere with multi-GPU job scheduling.

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6. A system administrator needs to optimize the delivery of their AI applications to the edge.

What NVIDIA platform should be used?

Base Command Platform

Base Command Manager

Fleet Command

NetQ

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7. What must be done before installing new versions of DOCA drivers on a BlueField DPU?

Uninstall any previous versions of DOCA drivers.

Re-flash the firmware every time.

Disable network interfaces during installation.

Reboot the host system.

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8. 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

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9. 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.

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10. 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

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11. If a Magnum IO-enabled application experiences delays during the ETL phase, what troubleshooting step should be taken?

Disable NVLink to prevent conflicts between GPUs during data transfer.

Reduce the size of datasets being processed by splitting them into smaller chunks.

Increase the swap space on the host system to handle larger datasets.

Ensure that GPUDirect Storage is configured to allow direct data transfer from storage to GPU memory.

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12. A system administrator notices that jobs are failing intermittently on Base Command Manager due to incorrect GPU configurations in Slurm. The administrator needs to ensure that jobs utilize GPUs correctly.

How should they troubleshoot this issue?

Increase the number of GPUs requested in the job script to avoid using unconfigured GPUs.

Check if MIG (Multi-Instance GPU) mode has been enabled incorrectly and reconfigure Slurm accordingly.

Verify that non-MIG GPUs are automatically configured in Slurm when detected, and adjust configurations if needed.

Ensure that GPU resource limits have been correctly defined in Slurm’s configuration file for each job type.

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13. 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

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14. A Fleet Command system administrator wants to create an organization user that will have the following rights:

- For locations - read only

- For Applications - read/write/admin

- For Deployments - read/write/admin

- For Dashboards - read only

What role should the system administrator assign to this user?

Fleet Command Operator

Fleet Command Admin

Fleet Command Supporter

Fleet Command Viewer

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15. You are managing a Slurm cluster with multiple GPU nodes, each equipped with different types of GPUs.

Some jobs are being allocated GPUs that should be reserved for other purposes, such as display rendering.

How would you ensure that only the intended GPUs are allocated to jobs?

Verify that the GPUs are correctly listed in both gres.conf and slurm.conf, and ensure that unconfigured GPUs are excluded.

Use nvidia-smi to manually assign GPUs to each job before submission.

Reinstall the NVIDIA drivers to ensure proper GPU detection by Slurm.

Increase the number of GPUs requested in the job script to avoid using unconfigured GPUs.

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16. 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?

You only need to configure credentials for one cloud provider, as BCM will automatically replicate them across other providers.

You need to set up a single set of credentials that works across both AWS and Azure for seamless integration.

You must configure separate credentials for each cloud provider in BCM to enable their use in the cluster extension process.

BCM automatically detects and configures credentials for all supported cloud providers without requiring admin input.

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17. You are deploying an AI workload on a Kubernetes cluster that requires access to GPUs for training deep learning models. However, the pods are not able to detect the GPUs on the nodes.

What would be the first step to troubleshoot this issue?

Verify that the NVIDIA GPU Operator is installed and running on the cluster.

Ensure that all pods are using the latest version of TensorFlow or PyTorch.

Check if the nodes have sufficient memory allocated for AI workloads.

Increase the number of CPU cores allocated to each pod to ensure better resource utilization.

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18. Your Kubernetes cluster is running a mixture of AI training and inference workloads. You want to ensure that inference services have higher priority over training jobs during peak resource usage times.

How would you configure Kubernetes to prioritize inference workloads?

Increase the number of replicas for inference services so they always have more resources than training jobs.

Set up a separate namespace for inference services and limit resource usage in other namespaces.

Use Horizontal Pod Autoscaling (HPA) based on memory usage to scale up inference services during peak times.

Implement ResourceQuotas and PriorityClasses to assign higher priority and resource guarantees to inference workloads over training jobs.

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19. 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?

smap -j

scontrol show job

sstat -j

sinfo -j

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20. You are setting up a Kubernetes cluster on NVIDIA DGX systems using BCM, and you need to initialize the control-plane nodes.

What is the most important step to take before initializing these nodes?

Set up a load balancer before initializing any control-plane node.

Disable swap on all control-plane nodes before initializing them.

Ensure that Docker is installed and running on all control-plane nodes.

Configure each control-plane node with its own external IP address.

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