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Expert-Verified NVIDIA NCP-AIO Exam Questions for Reliable Preparation

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NVIDIA NCP-AIO Exam Syllabus Topics:

Topic
Details

Topic 1

Installation and Deployment: This section of the exam measures the skills of system administrators and addresses core practices for installing and deploying infrastructure. Candidates are tested on installing and configuring Base Command Manager, initializing Kubernetes on NVIDIA hosts, and deploying containers from NVIDIA NGC as well as cloud VMI containers. The section also covers understanding storage requirements in AI data centers and deploying DOCA services on DPU Arm processors, ensuring robust setup of AI-driven environments.

Topic 2

Workload Management: This section of the exam measures the skills of AI infrastructure engineers and focuses on managing workloads effectively in AI environments. It evaluates the ability to administer Kubernetes clusters, maintain workload efficiency, and apply system management tools to troubleshoot operational issues. Emphasis is placed on ensuring that workloads run smoothly across different environments in alignment with NVIDIA technologies.

Topic 3

Administration: This section of the exam measures the skills of system administrators and covers essential tasks in managing AI workloads within data centers. Candidates are expected to understand fleet command, Slurm cluster management, and overall data center architecture specific to AI environments. It also includes knowledge of Base Command Manager (BCM), cluster provisioning, Run.ai administration, and configuration of Multi-Instance GPU (MIG) for both AI and high-performance computing applications.

Topic 4

Troubleshooting and Optimization: NVIThis section of the exam measures the skills of AI infrastructure engineers and focuses on diagnosing and resolving technical issues that arise in advanced AI systems. Topics include troubleshooting Docker, the Fabric Manager service for NVIDIA NVlink and NVSwitch systems, Base Command Manager, and Magnum IO components. Candidates must also demonstrate the ability to identify and solve storage performance issues, ensuring optimized performance across AI workloads.

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NVIDIA AI Operations Sample Questions (Q38-Q43):

NEW QUESTION # 38
Consider the following Dockerfile snippet for a VMI container deployment:

A. Copy all files from the current directory to /app
B. Install CUDA toolkit version 11.0
C. Copy the requirements.txt file and install python packages.
D. Set the working directory to /app
E. Run the command 'python app.py'

Answer: A,C,D,E

Explanation:
The snippet performs the following actions: Sets the working directory using WORKDIR, Copies files using COPY, and Runs a Python script using CMD. It installs the python requirments using requirements.txt file as well.

NEW QUESTION # 39
What are the functionalities of 'SlurmDBD'?

A. A high performance database for storing accounting information.
B. A web-based interface for managing Slurm clusters.
C. A command-line interface for submitting jobs to Slurm.
D. A tool for monitoring the health of Slurm nodes.
E. A daemon used to manage Slurm's job queue.

Answer: A

Explanation:
SlurmDBD (Slurm DataBase Daemon) is a high-performance database used to store accounting information, job history, and resource usage data for Slurm clusters. It allows administrators to track and analyze cluster usage patterns and generate reports.

NEW QUESTION # 40
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?

A. Fleet Command Operator
B. Fleet Command Admin
C. Fleet Command Viewer
D. Fleet Command Supporter

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
TheFleet Command Operatorrole is designed to provide users with read-only access to locations and dashboards while granting full read/write/admin rights for applications and deployments. This matches the described access requirements where the user can manage applications and deployments but only view locations and dashboards without modification rights. Other roles like Fleet Command Admin have broader permissions, Supporter has more limited access, and Viewer is primarily read-only for all resources.

NEW QUESTION # 41
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?

A. Disable all shared folders between the host and container to prevent volume mounting errors.
B. Reduce the size of the mounted volumes to avoid permission conflicts during container startup.
C. Use the docker logs command to review the logs for error messages related to volume mounting and permissions.
D. Reinstall Docker to reset all configurations and resolve potential volume mounting issues.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The first step to troubleshoot Docker container volume mounting issues is tocheck the container logsusingdocker logsfor detailed error messages, including those related to permissions. This provides direct insight into the cause of the failure. Reinstalling Docker or disabling shared folders are drastic steps and may not address the root cause. Volume size reduction is unrelated to permission conflicts.

NEW QUESTION # 42
You're managing a cluster using Kubernetes and Ceph, and your AI training jobs are experiencing storage I/O bottlenecks. You want to use Rook to manage Ceph within Kubernetes effectively. What configurations in Rook and Kubernetes would you verify to optimize storage performance for your AI workloads?

A. Verify that the Kubernetes pods have appropriate resource requests and limits to prevent resource contention.
B. Disable Ceph monitoring within Rook to reduce overhead on the cluster. pool: data').
C. Modify Rook's default storage class to use the 'rbd' provisioner with optimized parameters for AI workloads (e.g., 'imageFeatures: layering'
D. Ensure that the Ceph OSDs are running on fast storage devices (e.g., NVMe SSDs) and have sufficient resources (CPU, memory).
E. Configure Ceph placement groups (PGs) and pools to match the workload characteristics (e.g., number of objects, access patterns).

Answer: A,C,D,E

Explanation:
OSD performance is crucial for Ceph's overall performance. Resource requests/limits prevent pod resource starvation. Optimizing PGs and pools aligns Ceph with the workload. Configuring vrbd' provisioner with optimized parameters will help improve overall performance. Monitoring is important to debug issues, do not disable.

NEW QUESTION # 43
......

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