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NVIDIA AI Infrastructure Sample Questions (Q268-Q273):

NEW QUESTION # 268
You are configuring a server with NVIDIA GPUs for optimal power efficiency. You want to leverage NVIDIA's power management features to minimize energy consumption during idle periods. Which of the following actions would be the MOST effective in achieving this goal, without significantly impacting performance during active workloads?

A. Remove one or more GPUs from the server to reduce overall power consumption.
B. Enable NVIDIA's Adaptive Clocking and Power Limiting features, allowing the GPU to dynamically adjust its clock speeds and power consumption based on the workload.
C. Disable all GPU power management features to ensure maximum performance at all times.
D. Reduce the GPU's clock speeds to the lowest possible setting, regardless of workload.
E. Set a very low static power limit for the GPUs, significantly restricting their performance even during active workloads.

Answer: B

Explanation:
Enabling NVIDIA's Adaptive Clocking and Power Limiting features is the MOST effective approach. These features allow the GPU to dynamically adjust its clock speeds and power consumption based on the workload, minimizing energy consumption during idle periods while maximizing performance during active workloads. Setting a fixed low clock speed (A) or power limit (E) would severely impact performance. Disabling power management (C) wastes energy. Removing GPUs (D) reduces performance capacity.

NEW QUESTION # 269
A developer reports that their CUDA application running on a MIG instance is experiencing significantly reduced memory bandwidth compared to running on a full GPU. What are the potential causes for this performance bottleneck? (Select all that apply)

A. The CUDA driver version is not compatible with the MIG configuration, resulting in reduced performance.
B. MIG instances inherently provide higher memory bandwidth due to their partitioned nature, so this report must be incorrect.
C. The application is exceeding the memory capacity of the MIG instance, leading to excessive swapping.
D. The application is not optimized to take advantage of the MIG instance's specific memory bandwidth limitations.
E. The MIG instance has a smaller memory allocation compared to the full GPIJ, thus limiting the application's memory footprint.

Answer: A,C,D,E

Explanation:
MIG instances have smaller memory allocations (A) compared to the full GPU, which naturally limits memory footprint. Applications may not be optimized for MIG's bandwidth limitations (B) and might require tuning. Exceeding memory capacity will trigger swapping (C), significantly reducing performance. Incompatible CUDA drivers (D) can lead to performance degradation. MIG instances don't inherently offer higher bandwidth (E); they divide the overall GPU resources.

NEW QUESTION # 270
A critical AI model training job consistently fails on a specific GPU server in your cluster after running for approximately 24 hours.
Monitoring data shows a sudden drop in GPU power consumption followed by a system reboot. All other GPUs on the server appear normal. The server has redundant PSUs. What is the MOST likely cause?

A. A transient power supply issue affecting only one of the redundant PSUs, triggering a system-wide protection mechanism.
B. ECC memory errors accumulating over time, eventually leading to a non-recoverable system fault.
C. A driver crash, causing the GPU to reset and the system to reboot.
D. A software bug in the A1 model causing a kernel panic specifically triggered after 24 hours of execution.
E. Thermal runaway on the GPU due to a failing thermal interface material (TIM) between the GPU die and the heatsink.

Answer: E

Explanation:
Thermal runaway (B) is the most probable cause. The 24-hour delay suggests a gradual heat buildup. A failing TIM would cause the GPU to overheat until it triggers a thermal shutdown, resulting in the power drop and reboot. While a PSU issue (C) is possible, redundant PSUs should prevent a complete failure unless one PSU is completely dead and the second PSU is overloaded by the entire load for a short period. The other options are less likely to cause this specific failure pattern.

NEW QUESTION # 271
You are setting up a virtualized environment (using VMware vSphere) to run GPU-accelerated workloads. You have multiple physical GPUs in your server and want to assign specific GPUs to different virtual machines (VMs) for dedicated access. Which vSphere technology would BEST support this?

A. VMware vGPU
B. VMware vMotion
C. VMware DirectPath I/O (Passthrough)
D. VMware High Availability (HA)
E. VMware DRS (Distributed Resource Scheduler)

Answer: C

Explanation:
VMware DirectPath I/O (Passthrough) allows a VM to have exclusive access to a physical PCle device, such as a GPIJ. This provides the best performance because the VM can directly access the GPU without virtualization overhead. vGPI allows sharing of a GPU among multiple VMs, but DirectPath I/O provides dedicated access. vMotion migrates VMs. HA restarts VMS after failure. DRS balances resources across hosts.

NEW QUESTION # 272
You are configuring an NVIDIA BlueField-3 DPLJ to offload network processing. The DPIJ is connected to a server via PCle Gen5. Which cable type is essential for connecting the DPIJ to a 200GbE switch, ensuring optimal performance and signal integrity, and which describes its use?

A. Direct Attach Copper (DAC) cable; Ideal for short-range, high-bandwidth connections between devices in close proximity.
B. Active Optical Cable (AOC); Best for long-distance connections exceeding 10 meters in data centers.
C. Single-mode fiber optic cable; Used for long-distance connections where electrical interference is a concern.
D. Passive Copper Cable; Cost-effective for very short reach connections within the same rack.
E. Active Copper Cable (ACC); Suitable for mid-range connections with improved signal quality compared to passive copper.

Answer: A

Explanation:
Direct Attach Copper (DAC) cables are the best choice for short-range, high-bandwidth connections like those between a DPIJ and a switch within the same rack. They offer a balance of cost and performance, while maintaining signal integrity. AOCs are for longer reach, while passive copper cables are for very short distances.

NEW QUESTION # 273
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