NVIDIA Certified Associate - Accelerated Data Science
Prove your RAPIDS and GPU-accelerated data science expertise with the NCA-ADS certification. This exam validates the skills needed to transform, model, and deploy data faster using NVIDIA's full accelerated data science ecosystem.
certilumExam syllabus, organized by domain
Try a real question
Sample NVIDIA Certified Associate - Accelerated Data Science exam question
Answer this question the same way you would on exam day. No sign-up needed — one random question, three tries to swap it out.
The provided code performs an inner join between two cuDF DataFrames. What row count will be printed?
import cudf
left = cudf.DataFrame({'key': [1, 1, 2], 'x': ['a', 'b', 'c']})
right = cudf.DataFrame({'key': [1, 1, 1], 'y': [10, 20, 30]})
result = left.merge(right, on='key', how='inner')
print(len(result))Frequently asked questions
Key facts about the NVIDIA Certified Associate - Accelerated Data Science certification and how to prepare for it.
Skills & Requirements
What you need to know before attempting the NVIDIA Certified Associate - Accelerated Data Science exam.
Compare related certifications
Explore other certifications in the same category and see how they stack up.
