NCP-AII Practice Questions: Physical Layer Management Domain

Test your NCP-AII knowledge with 10 practice questions from the Physical Layer Management domain. Includes detailed explanations and answers.

NCP-AII Practice Questions

Master the Physical Layer Management Domain

Test your knowledge in the Physical Layer Management domain with these 10 practice questions. Each question is designed to help you prepare for the NCP-AII certification exam with detailed explanations to reinforce your learning.

Question 1

During a routine check with nvidia-smi, you notice that one of the GPUs on your DGX station is consistently running hotter than others. What is the most effective first step to troubleshoot this issue?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Checking the airflow and cooling system is the most effective first step because physical obstructions or cooling failures are common causes of overheating. Replacing thermal paste (A) or reducing clock speed (C) are more invasive or performance-reducing actions. Reinstalling drivers (D) is unlikely to solve a thermal issue.

Question 2

You are tasked with optimizing the performance of an NVIDIA DGX cluster connected via InfiniBand. Which configuration change would most likely reduce latency and improve throughput?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Increasing the MTU size on InfiniBand can reduce the number of packets required to transmit data, thereby reducing overhead and latency. Option A is incorrect because RoCE is not used in InfiniBand configurations. Option C may help in congestion scenarios but is not directly related to latency. Option D is incorrect as optical cables generally provide better performance over longer distances.

Question 3

In troubleshooting a DGX system with multiple GPUs, which tool provides the most comprehensive view of GPU health and utilization metrics?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: nvidia-smi provides a comprehensive view of GPU health and utilization metrics, including temperature, power usage, and memory usage, making it ideal for troubleshooting. Other tools like CUDA Visual Profiler and nvprof are more focused on application profiling.

Question 4

In planning the power management for a new NVIDIA DGX deployment, which of the following is the most important consideration to ensure system stability?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Ensuring the total rack power capacity (D) can handle the DGX systems' power requirements is crucial for stability. While power outlet availability (A), power density (B), and PSU redundancy (C) are important, the overall power capacity is foundational to support the infrastructure.

Question 5

A data center is experiencing unexpected shutdowns of DGX systems. What is the most likely cause to investigate first?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Inadequate cooling can lead to overheating, causing systems to shut down to prevent damage. CUDA version (B) and BIOS settings (C) typically do not cause shutdowns, and network switch overload (D) affects connectivity, not system stability.

Question 6

When configuring a new NVIDIA GPU server, which factor is most important to ensure optimal performance of the GPUs?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: The server's PCIe slot configuration (C) is crucial for optimal GPU performance as it determines the data transfer rate between the CPU and GPUs. Hard drive bays (A) and RAM (D) are less critical for GPU performance, while CPU clock speed (B) is important but secondary to PCIe configuration.

Question 7

While deploying a new InfiniBand fabric, you notice intermittent connectivity issues. What is the most effective first step to troubleshoot the problem?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Verifying the subnet manager configuration (C) is the most effective first step as it controls the fabric's operation and can often be the source of connectivity issues. Replacing cables (A) or updating firmware (B) are more time-consuming and should be considered if configuration checks don't resolve the issue. Increasing link speed (D) without resolving underlying issues could exacerbate problems.

Question 8

To ensure optimal performance of NVIDIA GPUs in a multi-tenant environment, what is the most important configuration to consider?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Configuring proper GPU isolation is crucial in a multi-tenant environment to ensure that workloads do not interfere with each other. ECC memory (A) and latest drivers (C) are important for stability but not specific to multi-tenancy. Maximum power mode (D) affects power consumption more than isolation.

Question 9

A system administrator notices that the performance of an NVIDIA GPU server has degraded. Using nvidia-smi, they find that the GPU memory usage is consistently at 95%. What would be the most effective first step to address this issue?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Using nvidia-smi to kill processes that are consuming excessive GPU memory is an immediate action that can free up resources and restore performance. Increasing system RAM (A) does not directly affect GPU memory. Recompiling the application (B) is a longer-term solution and may not immediately address the issue. Scheduling jobs (C) helps with load distribution but doesn't solve the current memory bottleneck.

Question 10

When configuring LinkX interconnects for an NVIDIA AI cluster, which factor is most critical to ensure high data throughput and low latency?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Choosing cables with the highest bandwidth rating ensures high data throughput and low latency, which is critical for performance in an AI cluster. Shorter cables (A) may help reduce latency but are not as impactful as bandwidth. Color-coding (C) aids management but not performance. Consistent connectors (D) are necessary but do not affect throughput or latency directly.

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About NCP-AII Certification

The NCP-AII certification validates your expertise in physical layer management and other critical domains. Our comprehensive practice questions are carefully crafted to mirror the actual exam experience and help you identify knowledge gaps before test day.

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