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NVIDIA NCP-AII Exam Syllabus Topics:

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

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NVIDIA AI Infrastructure Sample Questions (Q21-Q26):

NEW QUESTION # 21
You are running a large-scale distributed training job on a cluster of AMD EPYC servers, each equipped with multiple NVIDIAA100 GPUs. You are using Slurm for job scheduling. The training process often fails with NCCL errors related to network connectivity. What steps can you take to improve the reliability of the network communication for NCCL in this environment? Choose the MOST appropriate answers.

Answer: B,C,D

Explanation:
Ensuring network configuration is correct is the most important step. 'srun' with '-mpi=pmi2 handles NCCL environment variable setup by Slurm automatically for proper connectivity. Increasing timeouts allows for transient network issues to resolve without causing failures. Disabling the firewall is a security risk. Decreasing the batch size will reduce the amount of data but won't fix the core network connectivity issues.


NEW QUESTION # 22
You've successfully deployed BlueField OS to your SmartNlC. You need to verify that the Mellanox Ethernet driver (mlx5) is loaded and functioning correctly. What command would you use to confirm this?

Answer: B

Explanation:
The 'Ismod' command lists loaded kernel modules. 'grep mlx5 filters the output to show if the Mellanox Ethernet driver is loaded. 'Ispci' lists PCl devices, 'ifconfig' shows network interfaces but not necessarily the driver, and 'ethtool' displays driver information for a specific interface.


NEW QUESTION # 23
You are designing an AI infrastructure cluster for training large language models (LLMs). The dataset consists of 10TB of image data and 5TB of text dat a. You estimate that intermediate training data (checkpoints, temporary files) will require an additional 20TB of storage. You want to use a parallel file system for optimal performance. Considering a replication factor of 2 for data redundancy and a 20% overhead for file system metadata, what is the minimum raw storage capacity you should provision?

Answer: E

Explanation:
Total data size: IOTB + 5TB + 20TB = 35TB. With a replication factor of 2, the storage required is 35TB 2 = 70TB. Adding 20% overhead for metadata, we get 70TB 1.2 = 84 T B. Therefore, the minimum raw storage capacity is 84 + 8.4 = 92.4 TB. Overhead needs to be calcualted from after replication is implemented, so replication + 20% overhead.


NEW QUESTION # 24
A financial services firm is deploying an AI model for fraud detection that requires rapid inference and data retrieval across multiple sites. Which feature should their storage system prioritize?

Answer: B

Explanation:
Fraud detection in financial services is a real-time AI workload. The system must ingest transaction data, retrieve historical customer profiles, and perform inference in milliseconds. This requires a storage architecture that supportsmulti-protocol access(such as S3 for ingestion and POSIX/NFS for inference engines) combined withlow latency. In these environments, storage latency directly impacts the "Time to Decision". An All-Flash storage tier is mandatory, as traditional HDD solutions (Option D) or moderate speed systems (Option B) introduce "Tail Latency" that can cause the fraud detection model to time out during peak transaction windows. Additionally, multi-site synchronization ensures that the latest model weights and historical data are available across different geographic data centers for high availability and localized inference.


NEW QUESTION # 25
An infrastructure engineer is preparing a new AI cluster for production use, which relies on NVIDIA switches and high-speed optical transceivers for node connectivity. The team is finalizing network validation before launching large-scale training jobs. Why is it critical to confirm and align the firmware version on all switch transceivers prior to production?

Answer: B

Explanation:
Matching supported transceiver firmware versions across the cluster helps ensure link stability, expected bandwidth, and compatibility between NVIDIA switches and optical modules. This reduces the risk of link flaps, degraded throughput, and intermittent fabric issues during large- scale AI training workloads.


NEW QUESTION # 26
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