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NVIDIA AI Infrastructure Sample Questions (Q24-Q29):

NEW QUESTION # 24
You have installed the NVIDIA Container Toolkit and are attempting to run a container with GPU support. However, the 'docker run' command fails with an error indicating that the NVIDIA runtime is not found. You have already verified that the NVIDIA Container Toolkit is installed, and the Docker daemon has been restarted. What is the most likely cause of this error?

A. The system doesn't have a GPU.
B. The NVIDIA driver version is incompatible with the CUDA version specified in the container image.
C. The container image is corrupted and needs to be rebuilt.
D. The 'nvidia-container-runtime' package is not installed.
E. The '/etc/docker/daemon.json' file is missing or has incorrect configuration settings related to the NVIDIA runtime.

Answer: E

Explanation:
The most likely cause is an issue with the S/etc/docker/daemon.json' file (A). This file configures Docker's runtime settings, including specifying the NVIDIA runtime. If the file is missing or has incorrect entries, Docker will not be able to find the NVIDIA runtime. While driver incompatibility (B) can cause issues, it typically manifests as runtime errors within the container, not a failure to find the runtime itself. 'nvidia- container-runtime' might be a required package depending on the installation method. A missing GPU is unlikely since the Toolkit would likely fail to install, although this is also an error that can prevent the NVIDIA runtime from being started.

NEW QUESTION # 25
Which protocol is commonly used in Spine-Leaf architectures for dynamic routing and load balancing across multiple paths?

A. BGP (Border Gateway Protocol)
B. VRRP (Virtual Router Redundancy Protocol)
C. ECMP (Equal-Cost Multi-Path)
D. OSPF (Open Shortest Path First)
E. STP (Spanning Tree Protocol)

Answer: C

Explanation:
ECMP (Equal-Cost Multi-Path) is crucial for efficiently utilizing the multiple paths available in a Spine-Leaf architecture. It allows traffic to be distributed across these paths, improving throughput and reducing congestion. OSPF and BGP can be used for routing but do not inherently provide per-packet load balancing. STP is used to prevent loops, and VRRP provides router redundancy, neither of which directly address load balancing across multiple equal-cost paths.

NEW QUESTION # 26
You encounter an error during the BlueField OS flashing process using 'bfboot: 'ERROR: Could not detect a BlueField device'. Which of the following steps is MOST likely to resolve the issue?

A. Check the systems BIOS/UEFI to confirm that SR-IOV is enabled.
B. Verify that the correct PCIe slot is being used. Some systems may have specific slots designated for SmartNICs.
C. Install the Mellanox OFED drivers on the host system. These drivers are required for 'bfboot' to function correctly.
D. Ensure the BlueField device is powered on and properly connected to the host system via PCIe.
E. Update the 'bfboot' utility to the latest version. Older versions may have compatibility issues.

Answer: D

Explanation:
The most basic and common cause of this error is a physical connection issue. Ensuring the device is powered and connected is the first step. While other options might be relevant in specific scenarios, connectivity is the most probable cause.

NEW QUESTION # 27
You are designing an AI infrastructure using NVIDIA HGX AIOO servers. These servers support both PCle Gen4 and NVLink for GPU interconnects. Which statement is MOST accurate concerning the choice between PCle Gen4 and NVLink for inter-GPU communication within a single HGX AIOO server for deep learning training?

A. PCle Gen4 offers higher bandwidth and lower latency compared to NVLink, making it the preferred choice for all deep learning workloads.
B. NVLink and PCle Gen4 offer identical performance for inter-GPU communication; the choice is arbitrary.
C. PCle Gen4 is more cost-effective and power-efficient than NVLink, making it the optimal choice for smaller AI training datasets.
D. The choice between PCle Gen4 and NVLink depends solely on the type of deep learning framework being used; TensorFlow requires PCle Gen4, while PyTorch benefits from NVLink.
E. NVLink provides a direct, high-bandwidth, low-latency connection between GPUs, which is generally superior to PCle Gen4 for deep learning training involving frequent inter-GPU communication.

Answer: E

Explanation:
NVLink is specifically designed for high-bandwidth, low-latency communication between GPUs, making it superior to PCle Gen4 for deep learning training where GPUs frequently exchange data. NVLink allows GPIJs to share memory directly.

NEW QUESTION # 28
You are configuring an InfiniBand subnet with multiple switches. You need to ensure that traffic between two specific nodes always takes the shortest path, bypassing a potentially congested link. Which of the following approaches is MOST effective for achieving this using InfiniBand's routing capabilities?

A. Implement Quality of Service (QOS) to prioritize the traffic between the two nodes, hoping that this will influence the path selection.
B. Utilize the ibroute command or similar tool to inject a static route between the nodes, forcing traffic to follow a specific path identified by LID and port number.
C. Decrease the MTIJ size on the potential congested link.
D. Use static routing by manually configuring forwarding tables on each switch along the desired path. This involves specifying DLID-to-Port mappings.
E. Rely solely on the Subnet Manager's (SM) default path computation algorithm (e.g., Min Hop) without any modifications.

Answer: B

Explanation:
Static routing with 'ibroute' (or similar) provides the most direct and reliable way to ensure traffic follows a specific path. The SM's default algorithm might not always choose the optimal path, and QOS only prioritizes traffic, not forces a specific route. Configuring forwarding tables manually on each switch is error-prone and difficult to manage at scale.

NEW QUESTION # 29
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