We are given that \( X \) follows a Poisson distribution with \( E(X^2) = 110 \). For a Poisson distribution, we know that \( E(X) = \lambda \) and \( \text{Var}(X) = \lambda \). Thus, \( E(X^2) = \lambda + \lambda^2 \), which gives \( \lambda = 10 \). Hence, the Poisson distribution is \( X \sim \text{Poisson}(10) \).
Step 1: Evaluate each option.
- Option (A) is correct because \( E(X^n) \) for Poisson distribution satisfies this relation.
- Option (B) is incorrect because the formula for \( P(X \text{ is even}) \) for a Poisson distribution is different, and \( \frac{1}{4}(1 + e^{-20}) \) is not the correct expression.
- Option (C) is correct because for a Poisson distribution with \( \lambda = 10 \), the probability increases for small \( k \) and decreases for large \( k \).
- Option (D) is correct because the probability decreases for large \( k \).
Final Answer:
\[
\boxed{P(X \text{ is even}) = \frac{1}{4} (1 + e^{-20})}.
\]