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NVIDIA NCP-AII Exam Syllabus Topics:

Section	Weight	Objectives
Troubleshoot and Optimize	12%	- Fault detection and remediation 1. GPU, fan, network card fault identification 2. Replacement of faulty hardware components - Performance optimization 1. Server performance tuning (Intel/AMD platforms) 2. Storage optimization
Physical Layer Management	5%	- Networking and GPU partitioning 1. MIG (Multi-Instance GPU) configuration 2. BlueField network platform configuration
System and Server Bring-up	31%	- Deployment and validation lifecycle 1. Network topologies for AI factories 2. Sequence of deployment and validation events - Physical infrastructure validation 1. Storage parameter initialization 2. Cable and transceiver types validation 3. Power and cooling validation - Hardware initialization and configuration 1. BMC, OOB, and TPM initial configuration 2. Firmware upgrades including HGX and fault detection 3. Hardware validation for workloads 4. GPU server installation and validation
Control Plane Installation and Configuration	19%	- Drivers and toolkits 1. NVIDIA container toolkit installation 2. NVIDIA GPU and DOCA drivers installation/update 3. NGC CLI deployment - Infrastructure software stack deployment 1. Cluster setup (Slurm, Enroot, Pyxis) 2. Operating system installation 3. Base Command Manager (BCM) installation and HA configuration - GPU utilization in containers 1. Docker GPU usage validation
Cluster Test and Verification	33%	- Cluster diagnostics 1. Storage testing 2. ClusterKit multi-node assessment - Network and hardware validation 1. NVLink validation 2. Firmware validation (switches, transceivers, BlueField) 3. Cabling and signal verification - Performance and stress testing 1. HPL (High-Performance Linpack) benchmarking 2. Single-node stress testing 3. Cluster burn-in tests (HPL, NCCL, NeMo) 4. NCCL communication testing

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NVIDIA AI Infrastructure Sample Questions (Q53-Q58):

NEW QUESTION # 53
Which of the following commands or tools can be used to verify the NVIDIA driver version and the CUDA version installed on a Linux system?

A. 'cat /proc/driver/nvidia/version'
B. nvcc -version'
C. 'nvidia-smr
D. "Ispci I grep NVIDIA'
E. 'modinfo nvidia'

Answer: A,B,C,E

Explanation:
'nvidia-smi' provides detailed information about the NVIDIA driver version and GPU status. 'nvcc -version' shows the CUDA compiler version. 'cat Iproc/driver/nvidia/version' (if the file exists) displays the driver version. 'modinfo nvidia' will display the version of the loaded kernel module. only shows the presence of NVIDIA hardware, not the driver or CUDA version.

NEW QUESTION # 54
An InfiniBand administrator needs to run performance benchmarks on new devices added to the fabric. What tool should be used to check the latency?

A. ibdiagnet
B. tcpdump
C. perfmon
D. ib_write_lat

Answer: D

Explanation:
ib_write_lat is an InfiniBand performance benchmarking utility used to measure RDMA write latency between devices. It is appropriate for validating latency performance on newly added InfiniBand fabric devices.

NEW QUESTION # 55
A systems engineer is updating firmware across a large DGX cluster using automation. What is the best practice for minimizing risk and ensuring cluster health during and after the process?

A. Drain nodes from the scheduler, run pre-update diagnostics, update firmware in batches, and verify health post-update before scaling to the next batch.
B. Update nodes that have reported faults, leaving others on older firmware.
C. To save time, simultaneously update all nodes in the cluster without draining or diagnostics.
D. Drain nodes from the scheduler, update firmware in batches, skip diagnostics and verify health post- update before scaling to the next batch.

Answer: A

Explanation:
Updating firmware on an NVIDIA DGX cluster is a critical operation that involves multiple sensitive components, including the GPU baseboard, the BMC, the motherboard tray (SBC), and the InfiniBand HCAs.
In a production environment, " Batching " is the industry standard to prevent a single corrupted firmware image or update failure from taking down the entire AI factory. The process must begin with " Draining " the nodes in the workload scheduler (like Slurm or Kubernetes) to ensure no active training jobs are interrupted.
Running pre-update diagnostics-using tools like nvsm show health or dcgmi diag-is vital to establish a baseline and ensure the hardware is stable before applying changes. Once the firmware is applied in a controlled batch, post-update verification is required to confirm the system returns to a " Healthy " state and that all versions match the target manifest. This " Rolling Update " strategy allows the engineer to pause the automation if a specific node fails to return to service, protecting the overall availability of the cluster.
Skipping diagnostics (Option D) or leaving nodes on mismatched versions (Option C) creates " configuration drift, " which leads to unpredictable performance in collective communication libraries.

NEW QUESTION # 56
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 fan bearing is wearing out, causing increased friction and requiring higher RPM to maintain airflow.
C. The fan's PWM control signal is malfunctioning, causing it to run at full speed.
D. A network connectivity issue is causing higher CPU utilization, leading to increased system-wide heat.
E. The server's BMC (Baseboard Management Controller) has a faulty temperature sensor reading, causing it to overcompensate.

Answer: A,B,C

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 # 57
An InfiniBand administrator needs to run performance benchmarks on new devices added to the fabric. What tool should be used to check the latency?

A. ibdiagnet
B. tcpdump
C. perfmon
D. ib_write_lat

Answer: D

Explanation:
ib_write_lat is the InfiniBand performance benchmarking tool used to measure RDMA write latency between devices. It is the appropriate utility for checking latency on newly added InfiniBand fabric devices.

NEW QUESTION # 58
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