We are given the matrix \( A = \begin{bmatrix} 0 & -1 \\ 1 & 0 \end{bmatrix} \). To find the eigenvalues, we use the characteristic equation:
\[
\text{det}(A - \lambda I) = 0
\]
where \( I \) is the identity matrix and \( \lambda \) represents the eigenvalues. Substituting the values:
\[
\text{det} \begin{bmatrix} 0 - \lambda & -1 \\ 1 & 0 - \lambda \end{bmatrix} = 0
\]
This simplifies to:
\[
\lambda^2 + 1 = 0
\]
Solving for \( \lambda \), we get:
\[
\lambda = \pm \sqrt{-1}
\]
Thus, the eigenvalues are \( \pm \sqrt{-1} \), which are imaginary numbers, corresponding to option (A).