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NVIDIA NCP-AII Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
Topic 4
  • 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.
Topic 5
  • 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.

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NVIDIA AI Infrastructure Sample Questions (Q138-Q143):

NEW QUESTION # 138
During HPL execution on a DGX cluster, the benchmark fails with "not enough memory' errors despite sufficient physical RAM. Which HPL.dat parameter adjustment is most effective?

Answer: A

Explanation:
The HPL problem size controls the benchmark's total memory footprint. Reducing the problem size lowers memory demand while keeping the block size stable, resolving "not enough memory" failures without unnecessarily changing the computational blocking behavior.


NEW QUESTION # 139
A system administrator needs to use DCGM-exporter to export GPU metrics to an external system to create interactive dashboards. What system can the DCGM-exporter use without additional configuration?

Answer: D

Explanation:
DCGM-exporter exposes NVIDIA GPU telemetry in a Prometheus-compatible metrics format by default. Prometheus can scrape these metrics directly, and the collected data can then be visualized in dashboard tools such as Grafana.


NEW QUESTION # 140
An administrator needs to perform a comprehensive pre-production stress test on a DGX H100 system. Which command validates GPU, CPU, memory, and storage components while following NVIDIA's recommended procedure?

Answer: B

Explanation:
The correct command is sudo nvsm stress-test --force. NVIDIA recommends using NVSM for the DGX pre- flight stress test before putting a DGX H100 system into production or after servicing. The documented NVSM stress test can run checks across supported components, including GPUs, CPU, memory, and storage, and the recommended command for all supported components is sudo nvsm stress-test --force. nvidia-smi -q provides detailed GPU information, but it does not execute a full platform stress test. The Linux stress command can load CPU and I/O subsystems, but it is generic and does not validate the DGX platform using NVIDIA's health model. gpu_burn may stress GPUs, but it does not cover CPU, system memory, storage, and DGX-specific platform checks in the recommended way. During server bring-up, NVSM is preferred because it understands DGX hardware components and can identify platform health issues before the node is released to production workloads.


NEW QUESTION # 141
An administrator notices that a server is not collecting telemetry data such as traffic flows, performance faults, and events. In which network does this information flow?

Answer: C


NEW QUESTION # 142
An enterprise decides to build a high-performance Ethernet-based AI cluster instead of using InfiniBand. To achieve RDMA functionality with minimal CPU overhead, which technology should the network architect implement?

Answer: A

Explanation:
RoCE (RDMA over Converged Ethernet) enables Remote Direct Memory Access over Ethernet networks, providing low latency and reduced CPU utilization similar to InfiniBand. Proper lossless Ethernet configuration is typically required for optimal performance. VXLAN, MPLS, and GRE provide network virtualization or tunneling rather than RDMA capabilities.


NEW QUESTION # 143
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