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NVIDIA AI Infrastructure Sample Questions (Q127-Q132):
NEW QUESTION # 127
You're deploying a BlueField-2 DPU in a cloud environment and need to ensure the integrity of the DPU's firmware. You want to verify that the firmware hasn't been tampered with. Which of the following methods provides the strongest level of assurance for firmware integrity?
- A. Checking the MD5 checksum of the firmware image against a known good value.
- B. Comparing the firmware version reported by the DPU with the version listed in the NVIDIA release notes.
- C. Checking the file size of the firmware image against a known good value.
- D. Using a digitally signed firmware image and verifying the signature using NVIDIA's public key.
- E. Verifying the SHA256 checksum of the firmware image against a known good value provided by NVIDIA.
Answer: D
Explanation:
Digitally signed firmware provides the strongest guarantee of integrity. The signature verifies that the firmware hasn't been tampered with since it was signed by NVIDIA. SHA256 checksums are good, but digital signatures are cryptographically stronger. MD5 checksums are considered weak and easily compromised. Firmware version and file size offer minimal assurance against sophisticated attacks.
NEW QUESTION # 128
You are deploying a BlueField-3 DPU within a secure environment. You are required to enable secure boot to prevent unauthorized firmware from being loaded. Which steps are typically involved in enabling secure boot on a BlueField-3 DPU, starting from a factory- default state? (Select TWO)
- A. Configure the server's BIOS to enable UEFI boot mode.
- B. Install the latest version of the Mellanox OFED drivers on the host server.
- C. Generate cryptographic keys and enroll them in the DPIJ's IJEFI firmware using tools provided by NVIDIA or Mellanox.
- D. Flash the BlueField-3 DPIJ with a secure boot-enabled OS image that is signed with the enrolled keys.
- E. Update the DPU's BMC firmware to the latest version.
Answer: C,D
Explanation:
The crucial steps are generating and enrolling cryptographic keys in the DPIJ's UEFI firmware, which establishes the chain of trust, and flashing the DPIJ with a secure boot-enabled OS image signed with those keys. Without these, secure boot won't function correctly. While updating the BMC firmware (E) is generally a good practice, and enabling IJEFI boot mode in the server's BIOS (C) is necessary for UEFI in general, they are not specific steps for enabling secure boot on the DPIJ itself . Installing host drivers (A) is also irrelevant to secure boot.
NEW QUESTION # 129
You are building a Docker image for a deep learning application that requires an NVIDIA GPU. Which of the following instructions is the most efficient way to ensure the NVIDIA drivers are available within the container, assuming you are using the nvidia/cuda/' base image and want to minimize the image size?
- A. RUN apt-get update && apt-get install -y nvidia-driver-470
- B. FROM nvidia/cuda:ll .4.2-base-ubuntu20.04 RUN apt-get update && apt-get install -y -no-install-recommends nvidia-driver-470
- C. Using 'nvidia/cuda' base image, the drivers are already included, so no further action is needed.
- D. FROM nvidia/cuda:ll .4.2-base-ubuntu20.04 AS builder RUN apt-get update && apt-get install -y -no-install-recommends software-properties-common RUN add-apt-repository ppa:graphics-drivers/ppa RUN apt-get update && apt-get install -y -no-install-recommends nvidia-driver-470 FROM ubuntu:20.04 COPY -from=builder /usr/lib/nvidia /usr/lib/ COPY -from=builder /usr/local/nvidia /usr/local/
- E. COPY /usr/lib/nvidia /usr/local/nvidia/
Answer: C
Explanation:
The Anvidia/cuda' base images provided by NVIDIA come pre-installed with the necessary NVIDIA drivers and CUDA toolkit. Therefore, you don't need to manually install or copy driver files. This is the most efficient method as it avoids unnecessary bloat in the Docker image. Options A, B, C and D all lead to redundant driver installations, increasing image size.
NEW QUESTION # 130
You are tasked with configuring an NVIDIAA100 GPU for a multi-tenant environment using MIG. The goal is to provide the following MIG configuration:
- A. 6/0/0/0/0/0/0
- B. 0/1 /2/3/4/5/6
- C. 1/1/1/1/1/1/1
- D. 14/0/0/0/0/0/0
- E. 7/0/0/0/0/0/0
Answer: B
Explanation:
The question specifies that you need the configuration that allows 7x1g.10gb instances and one 7g.80gb. The format is num_1g/num_2g/num_3g/num_4g/num_7g/num_10g/num_20g/num_40g. In the provided configuration, 0/1/2/3/4/5/6 means one 7g, then we need the instances.
NEW QUESTION # 131
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 driver is not properly recognizing the new GPU's capabilities; reinstall the driver.
- B. The new GPU is not receiving sufficient power; check the power connections and PSU capacity.
- C. The new GPU is a lower-performance model than the other GPUs.
- D. The new GPU requires a firmware update that hasn't been applied.
- E. The new GPU is overheating and throttling performance.
Answer: B
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 # 132
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