New Release NCP-AII Questions - NVIDIA NCP-AII Exam Dumps

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NVIDIA NCP-AII Exam Syllabus Topics:

Section	Weight	Objectives
System and Server Bring-up	20%	- Hardware installation and validation 1. Server, GPU, network and storage components setup 2. Power, cooling and physical connectivity verification - Firmware and system configuration 1. OS installation and base configuration 2. BMC, BIOS, TPM and firmware updates
Software Stack Deployment	25%	- Orchestration and workload management 1. Slurm, Kubernetes and container orchestration 2. NGC catalog and software deployment - NVIDIA software components 1. GPU drivers, container toolkit and runtime 2. Base Command Manager and cluster management tools
Validation, Troubleshooting and Optimization	20%	- Cluster validation and benchmarking 1. Health checks and error detection 2. HPL, NCCL and performance testing - Troubleshooting and maintenance 1. Hardware and software fault isolation 2. Performance optimization and best practices
GPU Resource Management	15%	- Multi-Instance GPU (MIG) configuration 1. Partitioning and resource allocation 2. Isolation and performance tuning - GPU scheduling and optimization 1. NVLink and fabric management 2. Workload placement and sharing
Networking and Storage Configuration	20%	- NVIDIA networking solutions 1. InfiniBand and Ethernet fabric setup 2. BlueField DPU configuration - Storage integration 1. Parallel file systems and object storage 2. Storage performance for AI workloads

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NVIDIA AI Infrastructure Sample Questions (Q81-Q86):

NEW QUESTION # 81
Refer to the output:

What insights can a system administrator gain regarding the DGX system's health?

A. A GPU tray upgrade failed.
B. The system has passed the hardware health check successfully.
C. A GPU is missing on the DGX system.
D. A GPU driver upgrade has failed.

Answer: C

Explanation:
The health output shows the GPU check is unhealthy and reports a missing GPU at PCI address
07:00.0. This indicates the DGX system is not detecting one of the expected GPUs.

NEW QUESTION # 82
Which of the following steps are essential components of a recommended DGX cluster installation procedure? (Choose two.)

A. Group nodes by function during initial setup and assign them to relevant categories in the cluster management tool.
B. Configure networking by validating all interfaces on each node - ensuring proper InfiniBand/Ethernet connectivity - prior to installing cluster software.
C. Complete application containerization, run distributed jobs, validate node health or storage availability.
D. Install Slurm on the head node and then configure the compute nodes' default OS images.

Answer: A,B

Explanation:
A recommended DGX cluster installation requires validating network interfaces and fabric connectivity before deploying cluster software so node provisioning and workload communication are reliable. Grouping nodes by function and assigning them to the proper cluster management categories ensures consistent configuration, management, and role-based deployment across the cluster.

NEW QUESTION # 83
During the setup of a new GPU cluster, you want to validate the GPUs to ensure they meet performance and reliability standards. What would demonstrate performance standards are met?

A. Use DCGM diagnostics and gpu-burn to stress test GPUs under load.
B. Test a small reference task, such as training a simple model, to confirm general functionality.
C. Validate NVLink bandwidth between GPUs by running data transfer tests across all connected nodes.
D. Verify that the GPU type and count match expected specifications.

Answer: A

Explanation:
DCGM diagnostics and gpu-burn validate GPU reliability and performance under sustained load.
These tools stress the GPUs, monitor health and error conditions, and help confirm that the devices can operate within expected performance and stability standards before production use.

NEW QUESTION # 84
An engineer is reimaging a DGX system in a large cluster. Which method ensures the most efficient and secure remote installation without physical access?

A. Build a software image on Base Command Manager and then reimage.
B. Create a USB drive with the ISO and manually boot from it on the DGX system.
C. Use apt-get to upgrade the OS without rebooting the system.
D. Skip ISO verification and directly flash the OS to the disk via SSH.

Answer: A

Explanation:
Base Command Manager is designed for centralized cluster provisioning and reimaging. Building a managed software image in BCM and reimaging the DGX system remotely provides an efficient, repeatable, and secure method without requiring physical access to the node.

NEW QUESTION # 85
A network engineer is tasked with configuring the management, storage, and compute networks for a new DGX BasePOD deployment. Which statement best describes the network segmentation required for optimal operation?

A. A single VLAN for all types of network traffic.
B. Two networks: one for management and one for compute.
C. Four networks: compute, storage, out-of-band, and management.

Answer: C

Explanation:
NVIDIA DGX BasePOD and SuperPOD reference architectures mandate strict network segmentation to ensure performance, security, and manageability.
* Compute Network: Typically InfiniBand (or high-speed Spectrum-X Ethernet), dedicated solely to GPU-to-GPU collective communications (NCCL).
* Storage Network: A high-bandwidth Ethernet or InfiniBand fabric specifically for data ingestion and model checkpointing, often utilizing GPUDirect Storage (GDS).
* Management Network: Used for standard cluster administration, SSH, and software orchestration (e.g., Bright Cluster Manager or Kubernetes control plane traffic).
* Out-of-Band (OOB) Network: A physically isolated network connected to the BMC ports for low-level system monitoring, power control, and remote console access, even when the OS is down.
A single VLAN (Option A) would cause massive congestion during training, as storage and management traffic would compete with high-frequency compute packets. The four-network model ensures that a " storm " in the storage fabric does not prevent an administrator from accessing the system via the management or OOB networks, which is essential for maintaining an AI Factory at scale.

NEW QUESTION # 86
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