(B) True positive and True negative
In both cases, the model's prediction matches reality — correctly predicting positive as positive, and negative as negative.
"True" in True Positive and True Negative means the prediction matches the actual outcome. "False" (as in False Positive/Negative) means there is a mismatch. Examiners expect you to know these definitions from the confusion matrix topic.