This free NVIDIA NCA-AIIO Troubleshooting and Maintenance practice test covers diagnostics, GPU health monitoring, driver issues, logs and telemetry, RMA, and firmware updates for AI infrastructure. Each question includes a detailed explanation — perfect for NCA-AIIO exam prep.
Each question below includes 4 answer options, the correct answer, and a detailed explanation. These are real questions from the FlashGenius NVIDIA NCA-AIIO question bank for the Troubleshooting and Maintenance domain (6% of the exam).
What is the first step when troubleshooting poor GPU performance in AI workloads?
Correct answer: B
Explanation: Monitoring GPU utilization and memory usage helps identify bottlenecks, whether the GPU is underutilized, memory-bound, or experiencing other performance issues.
An NVIDIA DGX system is experiencing degraded performance in a multi-GPU setup during a deep learning training session. Which of the following steps should be taken first to diagnose the issue?
Correct answer: A
Explanation: Checking GPU utilization using nvidia-smi helps identify if the GPUs are being fully utilized or if there's a bottleneck. It is a non-invasive first step in diagnosing performance issues. Replacing GPUs, reinstalling the OS, or changing the batch size without understanding the issue might not address the root cause.
You notice that your AI model's inference time has increased significantly. Which NVIDIA tool can you use to profile and identify performance bottlenecks in your model?
Correct answer: A
Explanation: NVIDIA Nsight Systems is a performance analysis tool that helps identify bottlenecks in applications. DeepStream is for video analytics, TensorRT is for optimizing inference, and Clara is for healthcare applications.
A user reports that their AI workload is not utilizing all available GPUs on the server. What is a common cause of this issue?
Correct answer: B
Explanation: The AI software framework might not be configured for multi-GPU support, which is a common cause for not utilizing all GPUs. Disk space, power issues, and kernel version are less likely to cause this specific issue.
After a recent update, an AI application running in an NGC container is failing to start. What is the first step to resolve this issue?
Correct answer: B
Explanation: Checking the container logs will provide specific error messages that can help diagnose the issue. Rolling back, rebooting, or reinstalling without understanding the error might not be effective.
Which NVIDIA tool can be used to monitor GPU health and performance metrics in real-time?
Correct answer: C
Explanation: NVIDIA System Management Interface (nvidia-smi) is used for monitoring GPU health and performance metrics. DIGITS is for deep learning, Triton for inference serving, and Jetson Nano is a hardware platform.
Combine these NVIDIA NCA-AIIO Troubleshooting and Maintenance practice questions with hands-on work in NVIDIA data center GPUs, DGX systems, CUDA, and the AI Enterprise platform. The NCA-AIIO exam emphasizes applied AI infrastructure and operations skills, so build practical experience to strengthen your understanding.
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