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NVIDIA NCP-AII Exam Overview:

Certification Vendor:	NVIDIA
Exam Name:	NVIDIA Certified Professional – AI Infrastructure
Exam Number:	NCP-AII
Exam Price:	$195 USD
Certificate Validity Period:	2 years
Related Certifications:	NCP-AI NCP-DES
Available Languages:	English
Passing Score:	700 (scale of 0-1000)
Exam Format:	Multiple Choice, Multiple Select
Real Exam Qty:	50
Exam Duration:	90 minutes
Sample Questions:	NVIDIA NCP-AII Sample Questions
Exam Way:	Online proctored exam (Pearson VUE)
Pre Condition:	Recommended: hands-on experience with NVIDIA AI infrastructure products; basic knowledge of Linux, networking, and data center operations
Official Syllabus URL:	https://www.nvidia.com/en-us/certifications/ncp-ai-infra/

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

NVIDIA AI Infrastructure Sample Questions (Q183-Q188):

NEW QUESTION # 183
You are tasked with setting up High Availability (HA) for NVIDIA Base Command Manager (BCM) in a new GPU cluster. The cluster consists of a primary head node, a secondary head node, and several compute nodes. The requirements are automatic failover of BCM services, minimal disruption to workloads, and proper cluster health monitoring during and after installation. During your BCM HA installation and configuration process, which two of the following actions are mandatory for ensuring a robust and verified HA cluster configuration?
Pick the 2 correct responses below.

A. Assign a floating Virtual IP address that can automatically migrate between the primary and secondary head nodes during failover.
B. After configuration is complete, simulate a failover by stopping BCM services on the active head node to verify that all services are running on the secondary node with no interruption.
C. Configure both head nodes to use independent static IP addresses for BCM services instead of relying on a shared virtual IP address.
D. Compute nodes must be powered on and performing work to initiate synchronization of the head nodes.
E. During configuration, explicitly synchronize both the configuration and state data directories from the primary to the secondary head node to ensure consistency.

Answer: A,B

Explanation:
A floating Virtual IP address is required because users, compute nodes, and management services need a consistent endpoint for the active BCM head node. NVIDIA DGX BasePOD HA documentation states that the external VIP is the IP address that should always be used to access the active head node after HA configuration is complete. The same HA workflow also verifies failover behavior after setup by checking HA status from both directions and confirming which head node is active. Therefore, a controlled failover validation is necessary to prove that the secondary head node can assume service responsibility. Compute nodes do not need to be powered on and running workloads during HA setup; NVIDIA documentation actually shows cluster nodes being powered off before HA configuration. Independent static IP addresses alone do not provide transparent service continuity because clients would need to reconnect manually.
Synchronization occurs as part of the HA setup workflow, but the best two answers for automatic failover and verified readiness are the floating VIP and failover validation.

NEW QUESTION # 184
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?

A. High capacity with moderate speed.
B. Low-cost HDD solutions.
C. Tape backup systems.
D. Multi-protocol data access with low latency.

Answer: D

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 # 185
You observe high latency and low bandwidth between two GPUs connected via an NVLink switch. You suspect a problem with the NVLink link itself. Which of the following methods would be the most effective in diagnosing the physical NVLink link health?

A. Examining system logs for NVLink-related error messages.
B. Physically inspecting the NVLink cables for damage.
C. Using 'ping' to check network connectivity between the servers.
D. Running a CUDA-aware memory bandwidth test specifically designed for NVLink.
E. Using 'iperf3' to measure network throughput between the servers.

Answer: A,B,D

Explanation:
A CUDA-aware memory bandwidth test can specifically measure the NVLink link's performance. System logs can reveal hardware- level errors. Physical inspection can identify damaged cables. 'iperf3' and 'pings are network-level tools and don't directly test the NVLink link. Checking for error messages in System Logs also helps identify potential issues related to the NVLink switch and the link connections.

NEW QUESTION # 186
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. Hardware acceleration for tensor operations during model training
B. Dynamic expansion of GPU framebuffer memory
C. Automatic GPU virtualization through CUDA
D. Infrastructure offload with isolated security and networking services on the DPU

Answer: D

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 # 187
An administrator needs to add additional GPUs to an existing server. What are the server requirements to check before installing new GPUs?

A. Sufficient CPU capacity, PCI slot allocation, sufficient cooling in the data center, and rack space.
B. Sufficient cooling in the data center, adequate power of rack compatible hardware, and PCI slot allocation.
C. Sufficient networking, water-cooled racks, adequate power of rack, sufficient storage, and rack space.
D. Sufficient storage, sufficient networking, adequate power of rack, and compatible hardware.

Answer: B

Explanation:
Before adding GPUs, the administrator must confirm that the server platform supports the new GPUs, has available PCIe slots and lanes, has enough rack/data center power, and has sufficient cooling capacity. These checks ensure the GPUs can be installed safely and operate reliably under load.

NEW QUESTION # 188
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