Answer: A) Only plot A
The reasoning is because all of the points for plot A are fairly close to the same straight line. This straight line has a positive slope. We call this line the regression line.
In contrast, plot B seems to have the points randomly scattered about. We can't draw a good fitting straight line to get near all of the points. So plot B does not show positive linear correlation.
Side note: the correlation coefficient for plot A will have its r value close to 1. The r value for plot B will be close to 0.