Step 1: Observe the block structure of the matrix.
The matrix \( A \) can be written in block diagonal form as:
\[
A =
\begin{pmatrix}
\begin{matrix}
0 & 1 \\
1 & 0
\end{matrix}
& 0 \\
0 &
\begin{matrix}
0 & 1 & 0 \\
0 & 0 & 1 \\
1 & 0 & 0
\end{matrix}
\end{pmatrix}
\]
Thus, eigenvalues of \( A \) are union of eigenvalues of the two blocks.
Step 2: Eigenvalues of first block.
For
\[
\begin{pmatrix}
0 & 1
1 & 0
\end{pmatrix}
\]
Characteristic equation:
\[
\lambda^2 - 1 = 0
\]
So eigenvalues are:
\[
\lambda = 1, -1
\]
Step 3: Eigenvalues of second block.
The second block is a 3-cycle permutation matrix.
Its characteristic polynomial is:
\[
\lambda^3 - 1 = 0
\]
Thus eigenvalues are cube roots of unity:
\[
1, \; e^{2\pi i/3}, \; e^{4\pi i/3}
\]
Step 4: Combine eigenvalues.
So total eigenvalues of \( A \) are:
\[
1, -1, 1, e^{2\pi i/3}, e^{4\pi i/3}
\]
Distinct eigenvalues are:
\[
1, -1, e^{2\pi i/3}, e^{4\pi i/3}
\]
Thus there are 4 distinct eigenvalues in \( \mathbb{C} \).
But in \( \mathbb{R} \), distinct eigenvalues are:
\[
1, -1
\]
and from cube roots only \(1\) is real.
Hence total distinct real eigenvalues:
\[
1, -1
\]
But since \(1\) appears from both blocks, total distinct real eigenvalues are:
\[
1, -1
\]
Thus only two real eigenvalues exist, but counting multiplicity there are three real eigenvalues (1 appears twice and -1 once).
Hence statement (B) is correct.