Step 1: By definition, two events \( A \) and \( B \) are independent if and only if:
\[
P(A \cap B) = P(A) \cdot P(B)
\]
Step 2: This means the occurrence of one event does not affect the probability of the other.
Step 3: Let's briefly check the other options:
- (B) is always true for any two events (not just independent).
- (C) implies both events are impossible, which is not implied by independence.
- (D) is incorrect unless \( A \) and \( B \) are mutually exclusive and at least one of them has probability 0.
Final Answer: \( \boxed{P(A \cap B) = P(A)P(B)} \)