Azure Data Scientists Associate Practice Exam

CUDA stands for Compute Unified Device Architecture. This is a parallel computing platform and application programming interface (API) model created by NVIDIA. CUDA allows developers to use a CUDA-enabled graphics processing unit (GPU) for general-purpose processing – an approach known as GPGPU (General-Purpose computing on Graphics Processing Units). By leveraging the parallel processing power of GPUs, developers can accelerate computationally intensive applications across various domains, including data science, deep learning, and scientific computing.

While the other options may contain terms related to computing or architecture, they do not accurately capture the meaning of CUDA. The correct definition emphasizes the computational capabilities and unified design intended to make GPU resources accessible for broader programming beyond traditional graphics rendering.