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NVIDIA NCP-AII Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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	Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
Topic 5	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.

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NVIDIA AI Infrastructure Sample Questions (Q139-Q144):

NEW QUESTION # 139
In an InfiniBand fabric, what is the primary role of the Subnet Manager (SM) with respect to routing?

A. To provide a command-line interface for users to manually configure routing tables on each InfiniBand switch.
B. To discover the network topology, calculate routing paths, and program the forwarding tables (LID tables) in the switches.
C. To act as a firewall, blocking unauthorized traffic based on pre-defined rules.
D. To monitor the network for congestion and dynamically adjust packet priorities using Quality of Service (QOS) mechanisms.
E. To forward packets based on destination IP addresses, similar to a traditional IP router.

Answer: B

Explanation:
The Subnet Manager (SM) is responsible for discovering the InfiniBand topology, calculating routes, and programming the forwarding tables (LID tables) within the switches. This is crucial for establishing connectivity and ensuring efficient data transfer within the fabric. InfiniBand uses LID (Local Identifier) based routing, not IP addresses directly.

NEW QUESTION # 140
Your tasked with updating both NVIDIA GPU drivers and DOCA drivers on a set of servers used for AI workloads. The environment previously had an older driver stack and custom kernel modules. What is the most important step to successfully upgrade the drivers without causing conflicts?

A. Keep the older driver running alongside the new version in case you need to roll back the upgrade.
B. Uninstall all existing GPU and DOCA-related drivers and associated kernel modules before the new install.
C. Update the GPU driver leaving the DOCA and OFED drivers unchanged as long as they are detecting the hardware properly.
D. Validate the driver version post-install since the fresh install will overwrite the legacy drivers.

Answer: B

Explanation:
NVIDIA AI infrastructure relies on a tightly coupled stack involving the GPU driver and the DOCA (Data Center Infrastructure-on-a-Chip Architecture) drivers, which include the OFED stack for InfiniBand. When upgrading from an older version, " residue " from previous installations or custom kernel modules can cause version mismatches or symbol errors, preventing the new drivers from loading. The " 100% verified " best practice is to perform a clean installation. This involves completely uninstalling the existing drivers (using apt- get purge or the .run file ' s --uninstall flag) and ensuring that kernel modules are removed from memory. This prevents conflict between the legacy nvidia.ko and the new version. Once the system is " clean, " the new DOCA and GPU drivers can be installed as a matched set, ensuring that features like GPUDirect RDMA function correctly without being hindered by legacy configuration files.

NEW QUESTION # 141
A customer has just completed the first boot of their DGX system and is prompted to create an administrative user. What is the correct approach for setting up this user to ensure secure BMC and GRUB access?

A. Create separate usernames for BMC and GRUB to maximize flexibility.
B. Create a unique, strong, lower-case username and password that will be used for both BMC and GRUB access, avoiding default or weak credentials.
C. Skip the creation of a new user and retain the default admin account for BMC and GRUB access.
D. Use "sysadmin" as the username and a simple password for ease of management.

Answer: B

Explanation:
The correct approach is to create a unique, strong administrative user and avoid default or weak credentials.
NVIDIA DGX first-boot guidance states that the setup process creates an administrative user account for the system, BMC, and GRUB boot loader. DGX OS guidance also notes that the default BMC credentials stop working after new credentials are created, and earlier DGX OS guidance specifies that the username must use lower-case letters and a strong password. This matters because the BMC provides powerful out-of-band management functions, including remote console, power operations, firmware updates, and hardware monitoring. GRUB protection is also important because unauthorized boot-loader access can weaken system security or bypass controls. Creating separate usernames is not aligned with the documented first-boot flow where the administrative identity is reused for BMC and GRUB. Retaining defaults is insecure, and using a generic username with a simple password is unacceptable for enterprise production. In DGX infrastructure, secure first-boot credential setup is part of system hardening and operational readiness.

NEW QUESTION # 142
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?

A. Implement a multi-cloud strategy that leverages native storage solutions in each cloud platform while using middleware to ensure interoperability and data consistency.
B. Choose a vendor and standardize on one storage solution across the environments to simplify management to improve interoperability
C. Ensure that all environments use compatible storage protocols and APIs, such as NFS or S3, to facilitate data exchange and integration across platforms.
D. Focus on increasing network bandwidth between locations to reduce latency and improve data transfer speeds.

Answer: C

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 # 143
An Ai infrastructure relies on a liquid cooling system to dissipate heat from multiple NVIDIA GPUs. After a recent software update, users report intermittent performance degradation and system crashes. You suspect a cooling issue. Which TWO of the following checks are the MOST critical in diagnosing the root cause?

A. Run a memory test on the host system.
B. Check the CPU temperature using 'sensors' command.
C. Examine the ambient temperature in the data center.
D. Analyze the system logs for GPU-related errors, specifically those indicating thermal throttling or power capping.
E. Verify the pump speed and coolant flow rate within the liquid cooling system.

Answer: D,E

Explanation:
Verifying pump speed and flow rate (A) is crucial for liquid cooling systems. Reduced flow can lead to inadequate cooling and thermal issues. Analyzing system logs for GPU-related errors (C) will directly indicate whether thermal throttling or power capping are occurring, which are common symptoms of cooling problems.

NEW QUESTION # 144
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