Free PDF 2026 NVIDIA NCP-AII: NVIDIA AI Infrastructure–Efficient Practice Exam Questions

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NVIDIA NCP-AII Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: GPU Resource Management	15%	- Multi-Instance GPU (MIG) configuration 1. Isolation and performance tuning 2. Partitioning and resource allocation - GPU scheduling and optimization 1. NVLink and fabric management 2. Workload placement and sharing
Topic 2: 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. Performance optimization and best practices 2. Hardware and software fault isolation
Topic 3: Networking and Storage Configuration	20%	- NVIDIA networking solutions 1. BlueField DPU configuration 2. InfiniBand and Ethernet fabric setup - Storage integration 1. Parallel file systems and object storage 2. Storage performance for AI workloads
Topic 4: Software Stack Deployment	25%	- NVIDIA software components 1. Base Command Manager and cluster management tools 2. GPU drivers, container toolkit and runtime - Orchestration and workload management 1. Slurm, Kubernetes and container orchestration 2. NGC catalog and software deployment
Topic 5: System and Server Bring-up	20%	- Hardware installation and validation 1. Power, cooling and physical connectivity verification 2. Server, GPU, network and storage components setup - Firmware and system configuration 1. OS installation and base configuration 2. BMC, BIOS, TPM and firmware updates

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NVIDIA AI Infrastructure Sample Questions (Q179-Q184):

NEW QUESTION # 179
A financial institution deploys NVIDIA BlueField DPUs in a shared AI infrastructure where multiple business units use the same physical network. Security administrators want to isolate infrastructure services from tenant workloads while enforcing networking policies independently of the host operating system. Which BlueField capability best satisfies this requirement?

A. Infrastructure offload with isolated security and networking services on the DPU
B. Dynamic expansion of GPU framebuffer memory
C. Automatic GPU virtualization through CUDA
D. Hardware acceleration for tensor operations during model training

Answer: A

Explanation:
BlueField DPUs isolate networking, storage, and security functions from the host system by executing these services on dedicated Arm processors within the DPU. This architecture enhances security, enables infrastructure-level policy enforcement, and reduces dependence on the host operating system. BlueField does not virtualize GPUs, accelerate tensor computation, or increase GPU memory capacity.

NEW QUESTION # 180
Which of the following commands should be used to inspect a servers SM log file and detect if there was a change on the SM's chosen routing engine?

A. grep log_tra_info varlogopensm.log
B. grep tables varlogopensim.log
C. show ib sm log matching tables
D. show ib sm log matching log_trap_info

Answer: A

Explanation:
Inspecting the OpenSM log directly with grep is the appropriate way to check whether the subnet manager changed or recalculated routing behavior. Searching for routing-table related entries in the OpenSM log helps identify changes associated with the selected routing engine.

NEW QUESTION # 181
What information does the "ibnodes" command display?

A. All hosts & switches
B. All host & server names
C. All server names
D. All channel adapters

Answer: A

Explanation:
ibnodes displays the InfiniBand fabric nodes discovered by the subnet manager, including host channel adapters and switches. This makes it useful for viewing all hosts and switches visible in the InfiniBand topology.

NEW QUESTION # 182
When verifying network cable signal integrity during cluster deployment, which measurement result most strongly indicates a cable signal problem?

A. Repeated CRC errors and intermittent port flapping reported by switch counters.
B. Output of ifconfig showing link speed at the expected rate on both ends of the cable
C. Network pings between all cluster nodes return responses with delays under 2 ms on a 100Gb network.

Answer: A

Explanation:
Repeated CRC errors and intermittent port flapping are strong indicators of poor cable signal integrity. These symptoms show that the link is experiencing physical-layer errors or instability, which can cause packet loss, retransmissions, and degraded cluster performance under load.

NEW QUESTION # 183
What is the primary purpose of performing a NeMo Burn-in on a new AI infrastructure?

A. To benchmark production training speed and ensure all GPUs are running at identical clock speeds.
B. To tune NeMo model hyperparameters for maximum accuracy on user datasets during cluster deployment.
C. To stress test the hardware and software stack with representative NeMo workloads, ensuring reliability.

Answer: C

Explanation:
NeMo Burn-in validates new AI infrastructure by running representative NeMo workloads under sustained load. This stresses the GPUs, networking, storage paths, drivers, containers, and software stack together to confirm the platform is reliable before production use.

NEW QUESTION # 184
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