NVIDIA Certified Associate – AI Infrastructure and Operations — Question 12

In training and inference architecture requirements, what is the main difference between training and inference?

Answer options

• A. Training requires real-time processing, while inference requires large amounts of data.
• B. Training requires large amounts of data, while inference requires real-time processing.
• C. Training and inference both require large amounts of data.
• D. Training and inference both require real-time processing.

Correct answer: B

Explanation

The correct answer is B because training typically involves processing large datasets to build the model, whereas inference is about making predictions in real-time using the trained model. Options A, C, and D misrepresent the requirements of either training or inference by incorrectly attributing characteristics to one or both processes.