Answer: Stratified random sampling.
Explanation:
In a simple random sampling, every one has an equal chance of being chosen. This case is quite different.
In this case, since the analyst selects a sample of 400 car buyers by randomly sampling 100 buyers of each brand, this is a stratified random sampling since the outcome was already divided into 100 cars for each brand.