Step 1: Understand the given expression.
We are given a matrix
\[
A=
\begin{bmatrix}
3 & -3 & 4 \\
2 & -3 & 4 \\
0 & -1 & 1
\end{bmatrix}
\]
We need to identify the nature of
\[
AA^T
\]
where \(A^T\) represents the transpose of matrix \(A\).
Step 2: Use the transpose property.
For any matrix \(A\), consider
\[
AA^T
\]
Now take transpose on both sides:
\[
(AA^T)^T
\]
Using the property
\[
(AB)^T=B^TA^T,
\]
we get
\[
(AA^T)^T=(A^T)^T A^T
\]
Since
\[
(A^T)^T=A,
\]
therefore,
\[
(AA^T)^T=AA^T
\]
Step 3: Apply the definition of symmetric matrix.
A matrix \(M\) is called symmetric if
\[
M^T=M
\]
Here, if
\[
M=AA^T,
\]
then
\[
M^T=(AA^T)^T=AA^T=M
\]
So,
\[
AA^T
\]
is a symmetric matrix.
Step 4: Check why other options are not correct.
A skew-symmetric matrix satisfies
\[
M^T=-M
\]
but here
\[
(AA^T)^T=AA^T
\]
so it is not skew-symmetric.
A singular matrix must have determinant zero, but the question asks the general nature of \(AA^T\), and the standard property is that \(AA^T\) is symmetric.
Also,
\[
AA^T
\]
cannot be called the inverse of \(A\) unless it satisfies
\[
AA^T=I,
\]
which is not given here.
Step 5: Final conclusion.
Thus,
\[
AA^T
\]
is a symmetric matrix.
Therefore,
\[
\boxed{\text{Symmetric matrix}}
\]