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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional: AI Operations |
| Exam Number: | NCP-AIO |
| Real Exam Qty: | 70-75 |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| Related Certifications: | NCP-AII NCA-AIIO |
| Certificate Validity Period: | 2 years |
| Exam Format: | Scenario-based, Multiple Select, Multiple Choice |
| Exam Price: | $500 USD |
| Sample Questions: | NVIDIA NCP-AIO Sample Questions |
| Exam Way: | Online remote-proctored exam |
| Pre Condition: | Recommended: 2-3 years of operational experience working in a data center with NVIDIA hardware solutions. |
| Official Syllabus URL: | https://www.nvidia.com/en-us/learn/certification/ |
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NEW QUESTION # 47
A user reports slow performance when running a CUDA application within a Docker container. You suspect the container is not properly utilizing the GPU. How can you quickly verify that the container has access to the NVIDIA GPU?
Answer: C,D,E
Explanation:
Running 'nvidia-smr inside the container (A) is the quickest way to verify GPU access. Checking container logs (B) can reveal errors related to GPU initialization. Inspecting the container (D) for 'NVIDIA VISIBLE DEVICES' shows which GPUs are exposed to the container. Inspecting the Dockerfile (C) is useful for understanding the image's configuration, but it doesn't confirm runtime access. Restarting Docker (E) might resolve transient issues, but it's not a diagnostic step.
NEW QUESTION # 48
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?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
For troubleshooting and performance optimization on NVIDIA DGX systems such as DGX H100, the NVIDIA System Management (nvsm)tool is used to gather system health and diagnostic data. The command nvsm dump health is the correct command to generate and export detailed system logs related to the health report of the DGX system.
* nvsm show logs --save is not a recognized command format.
* nvsm get logs retrieves logs but does not specifically dump the health report logs.
* nvsm health --dump-log is not a standard documented nvsm command.
Therefore, nvsm dump health is the valid and documented command used to generate system logs focused on health reporting, useful for diagnosing performance issues in DGX H100 systems.
This usage aligns with NVIDIA's system management tools guidance for DGX platforms as described in NVIDIA AI Operations documentation for troubleshooting and performance optimization.
NEW QUESTION # 49
You are tasked with integrating BCM's monitoring data with an existing enterprise monitoring system (e.g., Splunk, ELK stack). What is the MOST efficient way to export BCM's metrics and logs for ingestion into these systems?
Answer: C,D
Explanation:
Configuring BCM to export metrics in Prometheus format and using a Prometheus exporter is a standard and efficient way to integrate with monitoring systems that support Prometheus data. Using syslog server for logs ensures that the logs are forwarded and aggregated, thus integrating with existing enterprise monitoring system easily. Developing a custom script is more complex and less maintainable. Manually copying log files is not scalable. Connecting the monitoring system directly to the BCM database poses security risks and is not recommended.
NEW QUESTION # 50
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?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In NVIDIA AI infrastructure, theNVIDIA Fabric Managerservice is responsible for managing GPU fabric features such as NVLink partitioning on HGX systems. This service periodically polls the GPUs to monitor and manage NVLink states. By default, the GPU polling subsystem is set toevery 30 secondsto balance timely updates with system resource usage.
This polling interval allows the Fabric Manager to efficiently detect and respond to changes or issues in the NVLink fabric without excessive overhead or latency. It is a standard default setting unless specifically configured otherwise by system administrators.
This default behavior aligns with NVIDIA's system management guidelines for HGX platforms and is referenced in NVIDIA AI Operations materials concerning fabric management and troubleshooting of NVLink partitions.
NEW QUESTION # 51
The 'nvsm' service is consistently crashing on one of your nodes. Analyzing the core dump reveals a segmentation fault related to memory access within the NVSwitch driver. What is the MOST appropriate course of action?
Answer: E
Explanation:
Segmentation faults related to driver code usually indicate a bug within the driver itself. Reporting the issue with a core dump allows NVIDIA engineers to investigate and provide a fix. Trying to debug the driver yourself (recompiling) or disabling the NVSwitch are less effective solutions for this type of problem. Different versions of CUDA also can cause problems, but first report with the core dump.
NEW QUESTION # 52
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