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NVIDIA NCP-AII Exam Syllabus Topics:

Topic	Details
Topic 1	Troubleshoot and Optimize: Covers identifying and replacing faulty hardware components such as GPUs, network cards, and power supplies, along with performance optimization for AMD Intel servers and storage.
Topic 2	Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
Topic 3	System and Server Bring-up: Covers end-to-end physical setup of GPU-based AI infrastructure, including BMC OOB TPM configuration, firmware upgrades, hardware installation, and power and cooling validation to ensure servers are workload-ready.
Topic 4	Control Plane Installation and Configuration: Covers deploying the software stack including Base Command Manager, OS, Slurm Enroot Pyxis, NVIDIA GPU and DOCA drivers, container toolkit, and NGC CLI.
Topic 5	Cluster Test and Verification: Covers full cluster validation through HPL and NCCL benchmarks, NVLink and fabric bandwidth tests, cable and firmware checks, and burn-in testing using HPL, NCCL, and NeMo.

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NVIDIA AI Infrastructure Sample Questions (Q94-Q99):

NEW QUESTION # 94
A system administrator needs to replace a failing GPU. Which of the following commands should be used to check slot capabilities?

A. nvidia-smi
B. dmesg
C. lspci
D. netstat -tulpn

Answer: C

Explanation:
lspci is used to inspect PCIe devices and slot-related capabilities, including GPU detection, PCIe link width, link speed, and bus placement. This helps verify the slot characteristics before replacing or troubleshooting a GPU.

NEW QUESTION # 95
A user reports that their GPU-accelerated application is crashing with a CUDA error related to 'out of memory'. You have confirmed that the GPU has sufficient physical memory What are the likely causes and troubleshooting steps?

A. The CUDA driver version is incompatible with the CUDA runtime version used by the application. Update the CUDA driver to match the runtime version.
B. The application is leaking GPU memory. Use a memory profiling tool like 'cuda-memcheck' to identify the source of the leak.
C. The system's virtual memory is exhausted. Increase the swap space.
D. The application is requesting a larger block of memory than is available in a single allocation. Try breaking the allocation into smaller chunks or using managed memory.
E. The process has exceeded the maximum number of GPU contexts allowed. Reduce the number of concurrent CUDA applications running on the GPU.

Answer: B,D

Explanation:
Memory leaks and single-allocation limits are common causes of 'out of memory' errors, even when sufficient physical memory exists. 'cuda-memcheck' is specifically designed to find memory errors in CUDA applications. While driver incompatibility is possible, leaks and allocation size limits are more frequent occurrences.

NEW QUESTION # 96
An enterprise deploys NVIDIA Base Command Manager to administer a newly built AI cluster.
The infrastructure team wants to minimize manual provisioning whenever additional compute nodes are installed. Which capability of Base Command Manager most directly supports this objective?

A. Automatic migration of Kubernetes workloads between clouds
B. Automatic retraining of machine learning models
C. GPU firmware overclocking during deployment
D. Automated cluster provisioning and lifecycle management

Answer: D

Explanation:
Base Command Manager provides centralized cluster deployment, operating system provisioning, software image management, health monitoring, and lifecycle automation. These capabilities simplify scaling AI infrastructure by reducing manual configuration effort. It does not retrain AI models, overclock hardware, or orchestrate multi-cloud workload migration.

NEW QUESTION # 97
Your company is planning to expand its AI capabilities significantly over the next five years. To future-proof your storage infrastructure, you need a solution that can scale in both capacity and performance. Which of the following strategies best ensures that your storage infrastructure remains adaptable to future AI demands?

A. Use a hybrid cloud model combining scalable cloud resources with on-premises infrastructure.
B. Implement single-tier cloud storage solution to leverage cloud scalability.
C. Deploy an all-flash array and remove data tiering to reduce latency.
D. Implement on-premises block storage system with periodic hardware upgrades.

Answer: A

Explanation:
A hybrid cloud model provides the flexibility to scale capacity and performance over time by combining on-premises infrastructure for predictable, high-performance workloads with cloud resources for elastic growth. This approach keeps the storage architecture adaptable as AI data volumes, training workloads, and performance requirements increase.

NEW QUESTION # 98
Which of the following are valid methods for verifying the health and connectivity of InfiniBand links in an NCP-AII environment? (Select TWO)

A. Using 'sminfo' to query the Subnet Manager for network topology and status information.
B. Checking the system logs ( ' /var/log/messages' or equivalent) for any InfiniBand-related error messages.
C. Using 'ibstat' to check the link state, physical state, and other relevant parameters of InfiniBand ports.
D. Using 'ping' to test basic IP connectivity over the InfiniBand interface.
E. Using 'netstat' to check TCP connections.

Answer: A,C

Explanation:
'ibstat' is a command-line utility specifically designed for checking the status of InfiniBand ports. 'sminfo' allows you to communicate with the Subnet Manager and retrieve network topology and status. While 'ping' can verify IP connectivity over InfiniBand, it doesn't directly assess the health of the InfiniBand link itself. Checking system logs is a useful supplementary task but isn't the primary method.

NEW QUESTION # 99
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