NVIDIA-Certified Associate Accelerated Data Science
Validates foundational ability to use GPU-accelerated tools and libraries across end-to-end data science workflows from preparation and analysis through machine learning and introductory MLOps.
Aligned to official NVIDIA exam objectivesWritten by certified professionalsScenario-based difficulty mirrors the real exam
Data Manipulation and Preparation(46)Machine Learning With RAPIDS(32)Data Science Pipelines and Workflow Automation(26)Descriptive Analysis and Visualization(26)Foundations of Accelerated Data Science(24)Introductory MLOps Practices(20)Advanced Data Structures(14)Software and Environment Management(12)
Question Sets
NCA-ADS Set 1
50 questions
Free
NCA-ADS Set 2
50 questions
Pro
NCA-ADS Set 3
50 questions
Pro
NCA-ADS Set 4
50 questions
Pro
Sample Questions
Q1.
easy
In an accelerated data science study session, the team is reviewing core exam foundations. Which statement best matches data integration scope?
Q2.
easy
In a training pipeline planning meeting, a learner wants the clearest correct definition. Which statement best matches joining tools?
Q3.
easy
In a data engineering design review, a new practitioner needs the most direct documented statement. Which statement best matches data cleaning scope?
Q4.
medium
In a model evaluation discussion, the team must choose the best documented interpretation. Which choice best applies the documented guidance for cudf definition?
Q5.
medium
In a production handoff meeting, an architect is mapping a need to the right NVIDIA-backed concept. Which choice best applies the documented guidance for arrow foundation?
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