Step 1: Definition of matrix types.
A unit matrix is a square matrix where all diagonal elements are 1 and all other elements are 0.
A diagonal matrix is a square matrix where all elements outside the main diagonal are zero.
A symmetric matrix is a square matrix that is equal to its transpose, i.e., \( A = A^T \).
A skew-symmetric matrix is a square matrix where \( A^T = -A \).
Step 2: Checking symmetry of matrix \( A \).
The given matrix is:
\[
A =
\begin{bmatrix}
0 & 1 \\
1 & 0
\end{bmatrix}
\]
The transpose of \( A \) is:
\[
A^T =
\begin{bmatrix}
0 & 1 \\
1 & 0
\end{bmatrix}
\]
Since \( A^T = A \), the matrix satisfies the definition of a symmetric matrix.
Step 3: Conclusion.
The matrix \( A \) is a symmetric matrix.