Step 1: Understanding the Concept:
From \(XA = B^T\), multiply on the right by \(A^{-1}\): \(X = B^T A^{-1}\). From \(A^{-1}Y = B\), multiply on the left by \(A\): \(Y = AB\).
Step 2: Multiply:
\[ XY = B^T A^{-1} A B = B^T (A^{-1}A) B = B^T B \]
The matrix \(A\) cancels out, so we do not need to compute \(A^{-1}\) at all.
Step 3: Compute:
\(B = [1, 0, 1]^T\), so \(B^T B = 1\cdot1 + 0\cdot0 + 1\cdot1 = 2\), the \(1 \times 1\) matrix \([2]\).
Step 4: Why the other options are wrong.
\([-1]\), \([1]\) and \([-2]\) would need a different sum of squares. \(B^TB\) is a sum of squares, so it can never be negative.
Final Answer:
\(XY = [2]\), option (D).
\[ \boxed{[2]} \]