Step 1: Understand the given matrix.
The matrix is
\[
A=
\begin{bmatrix}
1 & 0 & -1 & -3\\
0 & 1 & 1 & k-1\\
0 & 0 & k-1 & 1
\end{bmatrix}
\]
This is a \(3\times 4\) matrix.
The first row is
\[
R_1=[1,0,-1,-3]
\]
The second row is
\[
R_2=[0,1,1,k-1]
\]
The third row is
\[
R_3=[0,0,k-1,1]
\]
Step 2: Check the independence of the first two rows.
The first row has leading entry in the first column, and the second row has leading entry in the second column.
So,
\[
R_1 \text{ and } R_2
\]
are linearly independent.
Therefore,
\[
\operatorname{rank}(A)\geq 2
\]
Step 3: Condition for rank to be exactly \(2\).
For
\[
\operatorname{rank}(A)=2,
\]
the third row must be a linear combination of the first two rows.
So, suppose
\[
R_3=aR_1+bR_2
\]
Then,
\[
[0,0,k-1,1]
=
a[1,0,-1,-3]+b[0,1,1,k-1]
\]
This gives
\[
[0,0,k-1,1]
=
[a,b,-a+b,-3a+b(k-1)]
\]
Step 4: Compare corresponding entries.
Comparing the first component,
\[
a=0
\]
Comparing the second component,
\[
b=0
\]
Therefore,
\[
aR_1+bR_2=0
\]
So the third row must be the zero row for rank to be \(2\).
Thus, we need
\[
[0,0,k-1,1]=[0,0,0,0]
\]
This gives
\[
k-1=0
\]
and
\[
1=0
\]
But
\[
1=0
\]
is impossible.
Step 5: Final conclusion.
Hence, there is no real value of \(k\) for which the rank of \(A\) is \(2\).
Therefore,
\[
\boxed{\text{Does not exist}}
\]