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NVIDIA NCP-AII Exam Syllabus Topics:

Topic	Details
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	Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
Topic 3	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 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 (Q98-Q103):

NEW QUESTION # 98
You have a BlueField-2 DPU running Ubuntu. After upgrading the MLNX OFED drivers, the DPU fails to boot properly. You are presented with a GRUB prompt. Which sequence of commands is most likely to help you boot into a working kernel?

Answer: D

Explanation:
When a boot fails after a driver upgrade, it's often because the new kernel/initrd is faulty. The most likely solution is to boot into the previous , known-good kernel. Option C attempts this by specifying '-old' in the kernel and initrd filenames, attempting to load the older, hopefully functional, kernel. It assumes the root partition is /dev/sda2 but is booting an older kernel. Option A uses '$(uname -r)' which likely resolves to the problematic kernel that caused the failure. Option B lacks version information and may also load a broken kernel. Option D uses /dev/nvme0n1p2, which might be incorrect for the root partition on the BlueField. Option E will try to load grub normally, which might fail again.

NEW QUESTION # 99
You are attempting to install NGC CLI on a CentOS 7 system, but the 'pip install nvidia-cli' command fails with a 'Could not find a version that satisfies the requirement nvidia-cli' error. You have confirmed that 'pip' is installed and working. What could be the cause of this issue?

A. The CentOS 7 system does not have the required Python version installed. NGC CLI requires Python 3.6 or later.
B. The system's firewall is blocking access to the Python Package Index (PyPl). CentOS 7 is not supported by NGC CLI.
C. The system's package manager (YUM) is not configured correctly, preventing 'pip' from finding the NGC CLI package.
D. The 'pip' version is outdated and incompatible with the NGC CLI package. Upgrade 'pip' using 'pip install -upgrade pip'.

Answer: A,D

Explanation:
A likely reason is an outdated Python version (A), as NGC CLI requires Python 3.6 or later. Another potential issue is an outdated pip' version (C) which could be incompatible with the NGC CLI package. Confirming the correct python version and up to date pip usually resolves this issue. Option E is incorrect, CentOS 7 is supported with correct configuration.

NEW QUESTION # 100
After replacing a GPU in a multi-GPU server, you notice that the new GPU is consistently running at a lower clock speed than the other GPUs, even under load. *nvidia-smi' shows the 'Pwr' state as 'P8' for the new GPU, while the others are at 'PO'. What is the MOST probable cause?

A. The new GPU requires a firmware update that hasn't been applied.
B. The new GPU is overheating and throttling performance.
C. The new GPU is not receiving sufficient power; check the power connections and PSU capacity.
D. The driver is not properly recognizing the new GPU's capabilities; reinstall the driver.
E. The new GPU is a lower-performance model than the other GPUs.

Answer: C

Explanation:
A GPU stuck in the 'P8' power state indicates that it's not drawing the power it needs to operate at full performance. Insufficient power delivery is the most likely cause. While the new GPU could potentially be overheating or requiring a firmware update, checking power connections and PSU capacity is the first step. Comparing the new GPU's model with the others is also useful, but 'P8' state strongly suggests a power issue. Driver issues are less likely to cause a specific 'P8' state; they typically result in more general performance problems.

NEW QUESTION # 101
You are preparing a Spectrum-based NVIDIA switch for integration into a production Al cluster.
To confirm that all modules are running approved firmware versions, you must use the appropriate command from the switch CLI. Which step most accurately meets best practices for ensuring firmware version consistency and cluster compliance?

A. Use the show asic-version command to review firmware versions for all modules, then compare these against the documented approved versions.
B. Use the show interfaces status command to verify all ports are up, and proceed with integration if no interface errors are shown.
C. Use the show version command to check the overall system version and confirm all modules are updated if the system version matches the documentation.
D. Use the show inventory command to display component details and serial numbers before proceeding, as this output will include all firmware versions for review.

Answer: A

Explanation:
show asic-version is used on NVIDIA Spectrum switches to review firmware versions for switch modules and ASIC-related components. Comparing that output against the approved firmware matrix confirms version consistency and helps ensure the switch is compliant before production integration.

NEW QUESTION # 102
A server with four installed NVIDIA GPUs is experiencing intermittent crashes during heavy AI training workloads. You suspect a power issue. You have monitored the power consumption and found that the GPUs are briefly exceeding the rated power capacity of the PSU during peak loads. What are TWO effective mitigation strategies you can implement? (Select TWO)

A. Underclock the GPIJs to reduce their power consumption.
B. Increase the server room temperature.
C. Re-seat the GPUs in their respective slots.
D. Replace the PSU with a higher wattage PSU.
E. Disable one of the GPUs to reduce the total power draw.

Answer: A,D

Explanation:
Underclocking the GPUs reduces their power consumption directly. Replacing the PSU provides more headroom to handle the peak loads. Disabling a GPU reduces performance. Increasing server room temperature exacerbates the problem. Reseating GPUs addresses connection issues, not power limitations.

NEW QUESTION # 103
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