Important Rule :
If $x$ is an eigenvector of $A$ with eigenvalue $\lambda$, then $Ax = \lambda x$.
For any matrix $B = f(A)$, the eigenvalue is $f(\lambda)$ while the eigenvector $x$ remains the same.
Given $B = A - 2I$. Multiplying by eigenvector $x$:
\[ Bx = (A - 2I)x \]
\[ Bx = Ax - 2Ix \]
Since $Ax = \lambda x$ and $Ix = x$:
\[ Bx = \lambda x - 2x \]
\[ Bx = (\lambda - 2)x \]
By the definition $Bx = \lambda_B x$, the eigenvalue of $B$ is $(\lambda - 2)$.
$\lambda - 2$ (Option D) is correct