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| Section | Objectives |
|---|---|
| Topic 1: NVIDIA AI Operations Tools | - Container and orchestration tools
|
| Topic 2: Infrastructure Operations | - Data center operations
|
| Topic 3: Cluster and Workload Management | - Kubernetes administration
|
| Topic 4: AI Infrastructure Monitoring | - Monitor GPU resources
|
| Topic 5: AI Infrastructure Troubleshooting | - Performance optimization
|
>> NCP-AIO Free Test Questions <<
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NEW QUESTION # 31
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?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
NVIDIA's Base Command Manager is the software stack designed specifically for configuration, management, and monitoring of NVIDIA DGX systems, from a single DGX BasePOD up to large-scale SuperPOD deployments. It provides centralized management capabilities to orchestrate AI infrastructure, simplifying deployment, hardware monitoring, and lifecycle management across multiple clusters and data centers.
* NetQ is focused on network monitoring and diagnostics rather than overall hardware cluster management.
* Fleet Command is an enterprise SaaS solution to deploy and manage AI infrastructure in hybrid cloud environments but is not specifically targeted at on-premises DGX BasePOD to SuperPOD scale hardware management.
* Magnum IO is NVIDIA's high-performance data and storage software stack for managing I/O but not hardware or cluster configuration management.
Therefore, Base Command Manager is the correct and dedicated tool for managing multiple installations of NVIDIA DGX hardware spanning from BasePOD to SuperPOD environments.
This is consistent with NVIDIA's official AI Operations documentation and product descriptions highlighting Base Command Manager as the unified command and control platform for AI infrastructure management.
NEW QUESTION # 32
You have a hybrid environment with some GPUs connected via NVLink and others connected via PCle. You want to use 'nvsm' to manage only the NVLink fabric. How can you configure 'nvsm' to ignore the PCle-connected GPUs?
Answer: A
Explanation:
Typically, you can configure 'nvsm' to ignore specific GPUs by creating a blacklist in the 'nvsm.conf file. This blacklist would contain the PCI IDs of the PCIe-connected GPUs. 'nvsm' is designed to manage fabric links. 'nvsm' does not have a command line option to ignore PCle connected GPUs.
NEW QUESTION # 33
You are managing a high availability (HA) cluster that hosts mission-critical applications. One of the nodes in the cluster has failed, but the application remains available to users.
What mechanism is responsible for ensuring that the workload continues to run without interruption?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In an HA cluster, thefailover mechanismis responsible for detecting node failures and automatically transferring workloads to a standby or redundant node to maintain service availability. This process ensures mission-critical applications continue running without interruption. Load balancing helps distribute traffic but does not handle node failures. Manual intervention is not ideal for HA, and data replication ensures data integrity but does not itself manage workload continuity.
NEW QUESTION # 34
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?
Answer: A
Explanation:
Communication issues between UFM server and InfiniBand switches often result from misconfigured or missing subnet manager configuration on the switches. The subnet manager controls fabric membership and routing, so verifying and correcting its setup is essential for proper UFM operation. Rebooting, adding GPUs, or disabling firewalls are less likely to resolve fabric-level communication problems.
NEW QUESTION # 35
Which command-line tool is primarily used for creating and managing MIG instances on NVIDIA GPUs?
Answer: E
Explanation:
'nvidia-smi' is the primary command-line tool for managing and monitoring NVIDIA GPUs, including creating and managing MIG instances. The other options have different purposes related to CUDA development and containerization.
NEW QUESTION # 36
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