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NVIDIA AI Infrastructure Sample Questions (Q199-Q204):

NEW QUESTION # 199
After configuring MIG on an NVIDIAAIOO GPU, you run 'nvidia-smu and observe that all MIG instances are in the 'Disabled' state.
Which of the following are potential reasons for this issue? (Select all that apply)

A. The necessary NVIDIA drivers are not installed or are incompatible with the GPU.
B. The GPU is not in MIG mode.
C. The 'nvidia-persistenced' service is not running.
D. The system's power supply is insufficient.
E. The MIG instances are correctly configured but have not been allocated to any processes.

Answer: A,B,C

Explanation:
MIG instances being in a 'Disabled' state indicates a fundamental problem with the MIG configuration. Incompatible drivers (A) will prevent the instances from being properly initialized. If the GPU is not explicitly placed into MIG mode (B), no MIG instances will be available. The 'nvidia-persistenced' service (D) ensures that driver state persists across reboots, and its absence can cause MIG instances to revert to a disabled state. While unallocated instances (C) will exist, they should be in an 'Idle' state, not 'Disabled'. An insufficient power supply (E) might prevent the GPU from functioning correctly, but it's less likely to specifically cause a 'Disabled' MIG state.

NEW QUESTION # 200
You are installing a GPU server in a data center with limited cooling capacity. Which of the following server configuration choices would BEST help minimize the server's thermal output, without significantly compromising performance? Assume all options are compatible.

A. Increase the ambient temperature of the data center to reduce the temperature differential.
B. Use a passively cooled CPU to reduce fan noise and power consumption.
C. Implement liquid cooling for the GPUs and CPUs.
D. Configure the BIOS/UEFI to aggressively throttle CPU and GPU frequencies under heavy load.
E. Choose GPUs with a lower TDP (Thermal Design Power), even if it means using older generation GPUs.

Answer: C

Explanation:
Liquid cooling is the most effective way to remove heat from high-power components like GPUs and CPUs, allowing them to operate at their maximum performance without overheating. Choosing lower TDP GPUs will reduce thermal output but will also significantly reduce performance. Throttle frequency is useful, but liquid cooling enables optimal performance within thermal constraints. Data center should reduce cooling cost but is counter intuitive to reduce server temparature.

NEW QUESTION # 201
You need to remotely monitor the GPU temperature and utilization of a server without installing any additional software on the server itself. Assuming you have network access to the server's BMC (Baseboard Management Controller), which protocol and standard data format would BEST facilitate this?

A. SSH with plain text output from 'nvidia-smi'
B. HTTP with JSON
C. SNMP (Simple Network Management Protocol) with MIB (Management Information Base)
D. Syslog with CSV (Comma-separated Values)
E. IPMI (Intelligent Platform Management Interface) with SDR (Sensor Data Records)

Answer: E

Explanation:
IPMI is a standard interface for out-of-band server management, commonly used for monitoring hardware sensors like temperature and utilization. BMCs typically support IPMI. SDRs are the data format used by IPMI for sensor data. SNMP is also an option, but IPMI is more directly tied to hardware monitoring. The rest are less efficient or require additional software installation.

NEW QUESTION # 202
Which of the following methods are considered the most reliable ways to install NVIDIA drivers on a production server running a stable Linux distribution (e.g., RHEL, CentOS, or Ubuntu LTS) to minimize downtime and ensure system stability?

A. Building custom NVIDIA driver packages from source code to match the specific kernel version and system libraries.
B. Utilizing NVIDIA's container toolkit and running all A1 workloads inside containers to isolate the driver dependencies.
C. Using NVIDIA's data center driver program.
D. Using the distribution's package manager (e.g., 'apt' , 'yum' , or 'dnf) to install NVIDIA drivers from the official or curated repositories.
E. Downloading and running the latest .run' installer from the NVIDIA website without any package manager integration.

Answer: B,C,D

Explanation:
Using the distribution's package manager is generally the safest and most reliable method for installing NVIDIA drivers. This approach ensures that dependencies are managed correctly and updates are handled through the system's standard update mechanisms. Containerization isolates the driver and application dependencies. Nvidia's data center driver program provides enterprise-grade support and reliability. Running the .run installer directly can sometimes lead to dependency issues and conflicts. Building from source is complex and not generally recommended for production environments.

NEW QUESTION # 203
You have installed NVIDIA drivers using the .run' installer on a system running Ubuntu. However, after each kernel update, the NVIDIA drivers stop working. What is the most effective way to address this issue permanently?

A. Manually compile the NVIDIA kernel modules after each kernel update.
B. Re-run the '.run' installer after each kernel update.
C. Disable automatic kernel updates.
D. Use DKMS (Dynamic Kernel Module Support) to automatically rebuild the NVIDIA kernel modules after each kernel update.
E. Create a script that symlinks the old kernel modules to the new kernel directory.

Answer: D

Explanation:
DKMS (Dynamic Kernel Module Support) is the most effective solution. It automatically rebuilds kernel modules (like NVIDIA's) whenever a new kernel is installed. Re-running the Irun' installer is a manual and error-prone process. Disabling kernel updates is not recommended for security reasons. Manually compiling is complex and time-consuming. Symlinking old modules is unlikely to work due to kernel API changes.

NEW QUESTION # 204
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