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A steadily rising competition has been noted in the tech field. Countless candidates around the globe aspire to be NVIDIA AI Infrastructure in this field. Once you become NVIDIA certified, a whole new scope opens up to you and you are immediately hired by reputed firms. Even though the NVIDIA AI Infrastructure certification boosts your career options, you have to pass the NCP-AII Exam.

NVIDIA NCP-AII Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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 (Q144-Q149):

NEW QUESTION # 144
You are deploying a new A1 cluster using RoCEv2 over a lossless Ethernet fabric. Which of the following QOS (Quality of Service) mechanisms is critical for ensuring reliable RDMA communication?

Answer: C

Explanation:
PFC (Priority Flow Control) is essential for RoCEv2 over Ethernet. It prevents packet loss due to congestion by pausing traffic on a specific link, ensuring reliable RDMA communication. DSCP is used for traffic prioritization but doesn't prevent loss. ECN signals congestion but relies on endpoints to react. ACLs are for security. Rate Limiting will cause unnecessary Packet Loss.


NEW QUESTION # 145
A system engineer needs to set the vGPU scheduling behavior for all GPUs to share the scheduling equally with the default time slice length. What command should be used?

Answer: C

Explanation:
The RmPVMRL=0x00 setting configures the NVIDIA vGPU scheduler to use equal-share scheduling with the default time slice length. The esxcli system module parameters set -m nvidia command is the correct ESXi command format for setting NVIDIA kernel module parameters globally for the GPUs.


NEW QUESTION # 146
To verify correct installation of a DGX system, which command should a system administrator use to collect system configuration and diagnostic information?

Answer: D

Explanation:
nvsm show health is used to verify DGX system health after installation by checking the system's configuration and diagnostic status. It provides a quick confirmation that key hardware components are detected and operating correctly.


NEW QUESTION # 147
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?

Answer: D

Explanation:
Future-proofing AI storage requires balancing the massive throughput needs of training with the vast capacity needs of data lakes. Ahybrid cloud model(Option C) is the most adaptable strategy because it allows organizations to maintain high-performance, low-latency "hot" data on-premises (near the DGX clusters) while leveraging the elastic, near-infinite scalability of cloud storage for "cold" archival data or sudden bursts in compute demand. This model supports data tiering, where active datasets live on NVMe-based local parallel file systems to saturate GPU memory, and older datasets migrate to lower-cost cloud object storage.
While an all-flash array (Option A) is fast, it can become cost-prohibitive for multi-petabyte AI data lakes without a cloud-integrated tiering strategy. The hybrid approach provides the architectural flexibility to adopt new technologies over a five-year horizon without being locked into rigid on-premises hardware upgrade cycles.


NEW QUESTION # 148
You are responsible for ensuring interoperability between AI applications deployed across a diverse IT landscape, including an on-premises data center equipped with NVIDIA GPUs and multiple cloud platforms from different vendors. These environments need to support complex AI workflows that involve large-scale data processing, real-time analytics, and machine learning model training. To maintain consistent performance and flexibility, which strategy should you prioritize?

Answer: D

Explanation:
Compatible storage protocols and APIs such as NFS and S3 allow AI applications, data pipelines, and analytics workflows to access and exchange data consistently across on-premises GPU infrastructure and multiple cloud platforms. This supports interoperability, portability, and flexible integration across diverse environments.


NEW QUESTION # 149
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