NCP-AIO Troubleshooting and Optimization Practice Question
An engineer is troubleshooting a CUDA program that terminates unexpectedly. Which tool should be used to detect memory leaks and race conditions in the CUDA kernel code?
⚠ Common exam trap
Test-takers often recommend standard CPU debuggers or basic logging flags, overlooking the specialized memory and race condition diagnostic requirements unique to parallel CUDA kernel code execution.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
NVIDIA Compute Sanitizer
Debugging parallel code is inherently difficult due to the non-deterministic nature of race conditions and memory access patterns. The NVIDIA Compute Sanitizer is the essential diagnostic tool for identifying these issues, such as out-of-bounds memory access or race conditions, before they lead to erratic, intermittent crashes in production. Using it early in the development lifecycle saves massive amounts of time by ensuring code correctness and robustness.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
nvidia-smi
Why it's wrong here
nvidia-smi is a management and monitoring tool, not a debugger or code analyzer. It provides hardware status and utilization metrics but cannot inspect the state of a running kernel or detect logical errors like memory leaks, race conditions, or incorrect memory accesses in the application code.
- ✓
NVIDIA Compute Sanitizer
Why this is correct
The NVIDIA Compute Sanitizer is a functional correctness checking tool for CUDA kernels. It can detect memory access errors, race conditions, and various other issues that lead to unexpected program termination, making it the correct choice for debugging problematic kernel code during development or deployment.
- ✗
nsys (Nsight Systems)
Why it's wrong here
Nsight Systems is designed for performance profiling and visualization of the entire application timeline, including CPU and GPU activity. While it shows when a crash happens, it is not designed to perform the low-level functional analysis needed to identify specific memory leaks or data race conditions.
- ✗
nvprof
Why it's wrong here
nvprof is a legacy performance profiling tool. It is focused on collecting telemetry data about kernel execution time and memory throughput. It does not possess the functional analysis capabilities required to detect memory corruption, leaks, or race conditions within the logic of the custom CUDA kernel code.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official NVIDIA exam blueprint
This NCP-AIO practice question is part of Courseiva's free NVIDIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the NCP-AIO exam.