NCP-AII Updated CBT & NCP-AII Exam Details
NCP-AII Updated CBT & NCP-AII Exam Details
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Tags: NCP-AII Updated CBT, NCP-AII Exam Details, Exam NCP-AII Overviews, Questions NCP-AII Pdf, New Exam NCP-AII Materials
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Best NVIDIA NCP-AII Dumps [2025] With Real Exam Questions
The learning material is available in three different easy-to-use forms. The first one is a PDF form. The students can save the NCP-AII questions by taking out their prints or can access them on their smartphones, tablets, and laptops. The PDF form can be used anywhere anytime and is essential for applicants who like to learn from their smart devices. The second form is NVIDIA AI Infrastructure (NCP-AII) web-based practice test which can be taken from browsers like Firefox, Microsoft Edge, Google Chrome, and Safari.
NVIDIA AI Infrastructure Sample Questions (Q153-Q158):
NEW QUESTION # 153
You are running a Docker container with GPU support using 'nvidia-docker run'. The containerized application unexpectedly fails to detect the GPU. What is the most likely cause?
- A. The Docker daemon is not configured to use the NVIDIA runtime.
- B. The =gpus all' flag was not specified when running the container.
- C. The application within the container is not linked against the CUDA libraries.
- D. The NVIDIA drivers are not installed on the host system.
- E. The Docker image does not include the CUDA toolkit.
Answer: B
Explanation:
When running containers that need GPU access, it's essential to explicitly request the GPU resources. The '-gpus all' or '-gpus device=..: flag passed to 'docker run' with the NVIDIA runtime allows the container access to the available GPUs. Without this flag, the container operates as if no GPUs are available. Options A, B, C and D, while potentially problematic, are not the most likely cause if 'nvidia-docker run' was used previously.
NEW QUESTION # 154
Which of the following are crucial considerations when validating the hardware operation of an NVIDIA-Certified Professional AI Infrastructure server before deploying a production A1 workload? (Select all that apply)
- A. Ensuring the BIOS and BMC firmware are up to date.
- B. Confirming the correct installation and functionality of all network interfaces (e.g., Ethernet, InfiniBand) relevant to the workload.
- C. Verifying that the server's power supply units (PSUs) are operating within their specified voltage and current ranges under full load.
- D. Only testing the GPUs with a synthetic benchmark like 'linpack'.
- E. Checking if the server's case fans are spinning.
Answer: A,B,C
Explanation:
Validating hardware operation involves checking BIOS/BMC firmware for compatibility and security updates, ensuring PSUs are within operating parameters, and verifying network interface functionality. Synthetic benchmarks alone aren't sufficient; the fans spinning is a basic check, but doesn't validate actual cooling performance under load. Complete hardware validation involves a broad range of checks to prevent later issues.
NEW QUESTION # 155
A customer reports that after installing an additional NVIDIA GPU into their existing AI server, they are experiencing IOMMU related errors during VM startup that leverage GPU pass-through. The error message indicates a problem with address translation. Which troubleshooting steps should be taken? (Select TWO)
- A. Update the motherboard BIOS/UEFI to the latest version, as newer versions often include improved IOMMIJ support and bug fixes.
- B. Reduce the amount of RAM allocated to the VM to avoid exceeding addressable memory limits.
- C. Reinstall the NVIDIA drivers within the VM.
- D. Disable IOMMIJ in the BIOS/UEFI. This resolves the address translation conflicts.
- E. Ensure that IOMMIJ is enabled in the BIOS/UEFI, and that the kernel command line includes (for Intel CPUs) or (for AMD CPUs).
Answer: A,E
Explanation:
IOMMU errors often stem from incorrect configuration or outdated firmware. Disabling IOMMU is generally not recommended as it reduces security. Ensuring IOMMIJ is enabled in the BIOS/UEFI and kernel command line is crucial. Updating the BIOS/IJEFI addresses potential bugs in IOMMU implementation. While memory allocation could be a factor, it is not the most likely immediate cause. Reinstalling drivers within the VM is less likely to resolve IOMMU-related errors.
NEW QUESTION # 156
You've successfully deployed BlueField OS to your SmartNlC. You need to verify that the Mellanox Ethernet driver (mlx5) is loaded and functioning correctly. What command would you use to confirm this?
- A.
- B.
- C.
- D.
- E.
Answer: A
Explanation:
The 'Ismod' command lists loaded kernel modules. 'grep mlx5 filters the output to show if the Mellanox Ethernet driver is loaded. 'Ispci' lists PCl devices, 'ifconfig' shows network interfaces but not necessarily the driver, and 'ethtool' displays driver information for a specific interface.
NEW QUESTION # 157
You're configuring a BlueField-3 DPU-based server for high-performance storage. You want to utilize NVMe-oF (NVMe over Fabrics) to access remote NVMe SSDs. What is the primary benefit of using a BlueField DPU in this NVMe-oF setup compared to a traditional server with a standard NIC?
- A. BlueField DPU provides built-in hardware encryption for all NVMe-oF traffic.
- B. BlueField DPU automatically configures the NVMe-oF target without any manual intervention.
- C. BlueField DPU allows hot-swapping of NVMe SSDs without interrupting the NVMe-oF connection.
- D. BlueField DPU eliminates the need for a separate NVMe-oF target server.
- E. BlueField DPU offloads the NVMe-oF protocol processing, reducing CPU overhead on the host server.
Answer: E
Explanation:
The key advantage of using a BlueField DPU in an NVMe-oF setup is its ability to offload the NVMe-oF protocol processing. This significantly reduces the CPU overhead on the host server, allowing it to dedicate more resources to other tasks. While some DPUs might offer features like hardware encryption, the primary benefit is protocol offload.
NEW QUESTION # 158
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