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NVIDIA NCP-AII Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI Infrastructure Fundamentals	15-20%	- NVIDIA software stack overview - GPU architecture basics - AI and Deep Learning concepts - Data center infrastructure requirements
Topic 2: Deployment and Configuration	25-30%	- System installation and setup - Software deployment - Cluster configuration - Network configuration
Topic 3: Security and Best Practices	10-15%	- Security fundamentals - Operational best practices - Compliance considerations
Topic 4: Monitoring and Management	15-20%	- Resource utilization - NVIDIA management tools - Performance monitoring - Troubleshooting basics
Topic 5: NVIDIA AI Infrastructure Components	25-30%	- NVIDIA AI Enterprise software - NVIDIA networking solutions (Mellanox) - NVIDIA DGX systems - Storage solutions for AI workloads

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NVIDIA AI Infrastructure Sample Questions (Q47-Q52):

NEW QUESTION # 47
You are tasked with ensuring optimal power efficiency for a GPU server running machine learning workloads. You want to dynamically adjust the GPU's power consumption based on its utilization. Which of the following methods is the MOST suitable for achieving this, assuming the server's BIOS and the NVIDIA drivers support it?

A. Use NVIDIA's Data Center GPU Manager (DCGM) to monitor GPU utilization and dynamically adjust the power limit based on a predefined policy.
B. Disable ECC (Error Correcting Code) on the GPU to reduce power consumption.
C. Configure the server's BIOS/UEFI to use a power-saving profile, which will automatically reduce the GPU's power consumption when idle.
D. Enable Dynamic Boost in the NVIDIA Control Panel (if available), which will automatically allocate power between the CPU and GPU based on their current needs.
E. Manually set the GPU's power limit using 'nvidia-smi -pl and create a script to monitor utilization and adjust the power limit periodically.

Answer: A

Explanation:
DCGM provides the most comprehensive and automated solution for dynamic power management. It can monitor GPIJ utilization in real-time and adjust the power limit based on predefined policies, ensuring optimal power efficiency without manual intervention. Manually adjusting the power limit is possible but requires scripting and continuous monitoring. Dynamic Boost is typically for laptops, and BIOS power profiles may not be fine-grained enough. Disabling ECC reduces power but compromises data integrity.

NEW QUESTION # 48
You notice that one of the fans in your GPU server is running at a significantly higher RPM than the others, even under minimal load. ipmitool sensor' output shows a normal temperature for that GPU. What could be the potential causes?

A. The fan is attempting to compensate for restricted airflow due to dust buildup.
B. The server's BMC (Baseboard Management Controller) has a faulty temperature sensor reading, causing it to overcompensate.
C. The fan bearing is wearing out, causing increased friction and requiring higher RPM to maintain airflow.
D. A network connectivity issue is causing higher CPU utilization, leading to increased system-wide heat.
E. The fan's PWM control signal is malfunctioning, causing it to run at full speed.

Answer: A,C,E

Explanation:
A malfunctioning PWM control signal, worn fan bearings, or restricted airflow can all cause a fan to run at higher RPMs. While a faulty BMC sensor could be a cause, the question states that 'ipmitool sensor' shows a normal temperature. Network connectivity issues are less likely to cause an isolated fan to run high, if the GPU temperature is normal.

NEW QUESTION # 49
During server maintenance, a system administrator wants to ensure that the NVIDIA DGX server has sufficient disk space for operational activities. The administrator is scripting an alert system that will notify the team if disk space falls below a threshold. Which command could be included in the maintenance script to check the available disk space on the server?

A. nvidia-smi --query-disk-space
B. lsof +L1
C. du -sh /home/*
D. df -h | grep ' /var '

Answer: D

Explanation:
The correct command is df -h | grep ' /var ' because df reports filesystem capacity, used space, available space, and mount utilization. In DGX systems, monitoring disk space is important because system logs, container runtime data, package caches, telemetry, temporary files, and service data can consume space under operational filesystems such as /var. If /var fills up, services such as Docker, containerd, logging, monitoring agents, NVIDIA management tools, or package management can fail or behave unpredictably. nvidia-smi -- query-disk-space is incorrect because nvidia-smi reports GPU telemetry, not filesystem capacity. du -sh /home
/* summarizes directory usage under /home, but it does not directly show remaining filesystem space or a threshold-ready view of the mounted filesystem. lsof +L1 is useful for finding deleted files still held open by processes, but it is not the primary command for checking available disk capacity. In NVIDIA AI infrastructure, routine OS-level checks like filesystem capacity are part of reliable server operations and help prevent avoidable workload failures.

NEW QUESTION # 50
An administrator notices that a server is not collecting telemetry data such as traffic flows, performance faults, and events. In which network does this information flow?

A. In-band management
B. Compute
C. InfiniBand management
D. Storage

Answer: C

NEW QUESTION # 51
A system administrator noticed a failure on a DGX H100 server. After a reboot, only the BMC is available. What could be the reason for this behavior?

A. Multiple GPUs have failed.
B. A boot disk has failed.
C. There are more than two failed power supplies.
D. The network card has no link / connection.

Answer: C

Explanation:
If more than two DGX H100 power supplies fail, the system may not have enough power capacity to bring up the host, while the BMC can still remain available on standby management power.
This results in a condition where remote management is reachable but the server itself cannot fully boot.

NEW QUESTION # 52
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