To sum up and perhaps extend a bit:
Strictly speaking, the number N of hurricanes in 20 years is binomial with $n = 20$, $p = .05$, and $\mu = np = 1$. So $P\{N < 3\} = P\{N \le 2\} = 0.9245163,$ based on sufficiently simple computation (as shown) for a multiple-question, multiple-choice exam.
However, Poisson with $\lambda = \mu = np = 1$ gives 0.9196986
as a serviceable approximation, which would also lead to the correct
2-place answer.
Also, possible answers provided are far enough apart
that the Poisson approximation would not have had to be quite this good to guess the correct answer.
But the Poisson computation involves an exponential and may not be
as easy to compute as the binomial.
The Poisson would apply about as well as an approximation for
the assumption that there can be at most one hurricane in a 2-year period with
probability 1/10 so that N ~ BINOM(10, .1) [for which the exact
probability of two or fewer events is 0.9298092]; alternatively, for an assumption
that there can be at most one hurricane every six months with probability .025 so that N ~ BINOM(40, .025) [exact probability 0.9220516].
All that is required for a reasonable Poisson result is to have data supporting
$\lambda = 1$ hurricane per 20 years on average and to be willing to believe that hurricanes will continue to occur as random events across time at that rate. (The restriction against multiple hurricanes within a year is necessary for an exact binomial computation, but seemingly not for a useful actuarial model.)