Free PDF Quiz 2026 NVIDIA NCP-AII: Newest Pass NVIDIA AI Infrastructure Rate

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NVIDIA NCP-AII Exam Syllabus Topics:

Topic	Details
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	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 5	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.

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NVIDIA AI Infrastructure Sample Questions (Q68-Q73):

NEW QUESTION # 68
A systems administrator is preparing a new DGX server for deployment. What is the most secure approach to configuring the BMC port during initial setup?

A. Connect the BMC port to a dedicated and firewalled network and change the default admin credentials.
B. Enable remote access to the BMC over the internet using the default admin credentials for initial troubleshooting.
C. Connect the BMC port directly to the production network and retain default admin credentials for convenience.
D. Leave the BMC port disconnected until after the operating system is fully configured and in production.

Answer: A

Explanation:
The Baseboard Management Controller (BMC) is a powerful tool that allows for total control over the DGX system, including the ability to flash firmware, cycle power, and access the serial console. Because of this, it is a high-value target for security threats. The "100% verified" secure approach (Option D) involves two critical layers:
* Network Isolation: The BMC port should never be exposed to the public internet (Option A) or even the general production network (Option B). It must reside on adedicated Out-of-Band (OOB) network that is firewalled and accessible only to authorized administrators.
* Credential Management: Standard NVIDIA factory defaults (like admin/admin) must be changed immediately upon first access. As part of the DGX first-boot wizard, the system prompts the administrator to create a strong, unique password for the primary user, which is then synchronized to the BMC.
Leaving the port disconnected (Option C) is unfeasible for modern data center operations, as the BMC is required for remote monitoring and "headless" deployment. Following the isolated/firewalled approach ensures the AI Factory remains resilient against both external attacks and internal lateral movement.

NEW QUESTION # 69
You are validating the environment of an NVIDIA GPU-accelerated data center during post- deployment checks. Which one action is essential to confirm that power and cooling are sufficient for the stable operation of NVIDIA DGX H100 systems?

A. Review the system BIOS to ensure GPU overclocking is enabled for maximum performance.
B. Confirm the system fans are running at 100% under all workloads to prevent overheating.
C. Use NVSM to disable unused PCle devices to reduce overall system heat output.
D. Verify that each DGX system is connected to redundant, properly rated PDUs and that all power supplies are reporting nominal input.

Answer: D

Explanation:
Stable DGX H100 operation requires properly rated, redundant power delivery and healthy power-supply input status. Verifying PDU capacity, redundancy, and nominal PSU input confirms that the system has the electrical foundation needed to support sustained GPU workloads without power-related instability.

NEW QUESTION # 70
After configuring NGC CLI with ngc config set, a user receives "Authentication failed" errors when pulling containers. What step was most likely omitted?

A. Installing the CLI with apt-get instead of manual extraction.
B. Setting --format_type=json to enable API interactions.
C. Entering the API key during ngc config set or storing it in ~/.ngc/config.
D. Running sudo systemctl restart docker after configuration.

Answer: C

Explanation:
The NVIDIA GPU Cloud (NGC) Command Line Interface is a critical tool for managing AI assets, but it requires a valid authentication handshake to access private or restricted registries. When a user runs ngc config set, the utility initiates an interactive setup where the primary requirement is a uniqueAPI Key generated from the NGC portal. If the user omits this key or provides an expired one, the local configuration file (~/.ngc/config) will be incomplete or invalid, leading to immediate "Authentication failed" errors during docker pull or ngc registry image commands. This key acts as the credential that identifies the user's organization and team permissions. Unlike Docker configuration, which might require a service restart (Option D) to recognize a new runtime, NGC CLI authentication is purely application-level; it relies on the presence of a properly formatted configuration file containing the API token. Therefore, re-executing the configuration and ensuring the API key is correctly pasted into the terminal is the standard troubleshooting fix for this error.

NEW QUESTION # 71
Refer to the output:

What insights can a system administrator gain regarding the DGX system's health?

A. A GPU is missing on the DGX system.
B. The system has passed the hardware health check successfully.
C. A GPU driver upgrade has failed.
D. A GPU tray upgrade failed.

Answer: A

Explanation:
The health output shows the GPU check is unhealthy and reports a missing GPU at PCI address
07:00.0. This indicates the DGX system is not detecting one of the expected GPUs.

NEW QUESTION # 72
A system administrator needs to enable MIG so that the end user can run multiple jobs on an NVIDIA A100 GPU. What command should be used?

A. nvidia -smi -i -mig 1 enable
B. nvidia-smi -a100 -enablemig
C. nvidia-smi -i 0 -mig 1
D. nvidia smi -i 0 --enablemig

Answer: C

Explanation:
nvidia-smi -i 0 -mig 1 enables MIG mode on GPU index 0. Once MIG mode is enabled, the A100 can be partitioned into multiple GPU instances so separate jobs can run with isolated GPU resources.

NEW QUESTION # 73
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