Step 1: Set up the probability model.
Each day is cloudy with probability \(0.5\) and sunny with probability \(0.5\), and the four days are independent of each other. This is a binomial setting with \(n=4\) trials and success probability \(p=0.5\), where a "success" is a cloudy day.
Step 2: Write the binomial probability formula.
The probability of getting exactly \(k\) cloudy days out of \(n\) days is
\[
P(k) = \binom{n}{k}p^k(1-p)^{n-k}
\]
Here we want exactly \(3\) cloudy days out of \(4\), so \(n=4\), \(k=3\), \(p=0.5\).
Step 3: Count the number of ways to arrange three cloudy days.
\[
\binom{4}{3}=4
\]
This counts the four ways to choose which one of the four days is the sunny day, since the other three are then cloudy.
Step 4: Substitute into the formula.
\[
P(3) = \binom{4}{3}(0.5)^3(0.5)^1 = 4\times(0.5)^4
\]
\[
(0.5)^4 = \frac{1}{16}
\]
So
\[
P(3) = 4\times\frac{1}{16} = \frac{4}{16} = \frac{1}{4}
\]
Step 5: Rule out the other options.
Option (B) \(\dfrac{3}{4}\) is close to the complement of the answer and does not follow from the binomial formula for exactly three cloudy days.
Option (C) \(\dfrac{2}{3}\) does not arise from any valid substitution into \(\binom{4}{3}(0.5)^4\), it is simply a distractor value.
Option (D) \(\dfrac{3}{8}\) would result from forgetting to raise \(0.5\) to the full fourth power or mis-counting the arrangements, so it is also incorrect.
Step 6: Final Answer.
The probability of exactly three cloudy days and one sunny day in four days is
\[ \boxed{\dfrac{1}{4}} \]