We can model this with a binomial random variable, with sample size n=4 and probability of success p=1/6.
As we have to calculate the probability of getting at least one 2, it is easy to substract from a probability equal to 1 the probability of getting no 2. This can be written as:

The probability of getting at least one 2 in dice rolled 4 times is P=671/1296.