Since there is a one-to-one correspondence between confidence sets and tests of hypotheses, there is some correspondence between the optimality of tests and the optimality of confidence sets. Usually, test-related optimality properties of confidence sets do not directly relate to the size of the set, but rather to the probability of the set covering false values. In this lesson, the concept of a uniformly most accurate (UMA) confidence set is defined and illustrated via example.