Step 1: Understand the required probability.
Component B fails before component A means
\[
Y<X
\]
So, we need to find
\[
P(Y<X)
\]
Step 2: Identify the region of integration.
The joint density is non-zero when
\[
5<x<10
\]
and
\[
y>x-3
\]
Also, for component B to fail before component A,
\[
y<x
\]
Therefore, for each \(x\), the limits of \(y\) are
\[
x-3<y<x
\]
and the limits of \(x\) are
\[
5<x<10
\]
Step 3: Set up the double integral.
Thus,
\[
P(Y<X)
=
\int_{5}^{10}\int_{x-3}^{x}
\dfrac{1}{10}e^{-\frac12(y+3-x)}\,dy\,dx
\]
Step 4: Evaluate the inner integral.
Let
\[
u=y+3-x
\]
Then,
\[
du=dy
\]
When
\[
y=x-3,
\]
we get
\[
u=0
\]
When
\[
y=x,
\]
we get
\[
u=3
\]
Therefore, the inner integral becomes
\[
\int_{x-3}^{x}
\dfrac{1}{10}e^{-\frac12(y+3-x)}\,dy
=
\dfrac{1}{10}\int_{0}^{3}e^{-\frac{u}{2}}\,du
\]
Now,
\[
\int e^{-\frac{u}{2}}du=-2e^{-\frac{u}{2}}
\]
So,
\[
\dfrac{1}{10}\int_{0}^{3}e^{-\frac{u}{2}}\,du
=
\dfrac{1}{10}\left[-2e^{-\frac{u}{2}}\right]_{0}^{3}
\]
\[
=
\dfrac{1}{10}\left(-2e^{-\frac32}+2\right)
\]
\[
=
\dfrac{1}{5}\left(1-e^{-\frac32}\right)
\]
Step 5: Evaluate the outer integral.
Now,
\[
P(Y<X)
=
\int_{5}^{10}
\dfrac{1}{5}\left(1-e^{-\frac32}\right)\,dx
\]
Since the integrand is constant,
\[
P(Y<X)
=
\dfrac{1}{5}\left(1-e^{-\frac32}\right)(10-5)
\]
\[
=
1-e^{-\frac32}
\]
Now,
\[
e^{\frac32}=e\sqrt{e}
\]
Therefore,
\[
1-e^{-\frac32}
=
1-\frac{1}{e\sqrt{e}}
\]
\[
=
\frac{e\sqrt{e}-1}{e\sqrt{e}}
\]
Step 6: Final conclusion.
Hence, the required probability is
\[
\boxed{\frac{e\sqrt{e}-1}{e\sqrt{e}}}
\]
Therefore, the correct option is
\[
\boxed{(A)}
\]