Let us first examine the case where $x\in\mathbb{R}$, $f(x) = \max(0,x)$.
Then, the conjugate is
$$
\begin{align}
f^*(y) &= \sup_{x\in\mathbb{R}} \{yx-\max(0,x)\}\\
&= \max \left\{ \sup_{x\geq 0}(yx-x), \sup_{x<0}(yx+x)\right\}\\
&= \max \left\{ \sup_{x\geq 0}x(y-1), \sup_{x<0}x(y+1)\right\}\\
&= \max \left\{
\begin{cases}0,&\text{if } y\leq 1\\
+\infty,&\text{otherwise } \end{cases},
\begin{cases}0,&\text{if } y\geq -1\\
+\infty,&\text{otherwise } \end{cases}
\right\}\\
&=\begin{cases}
0,&\text{if } y \in [-1,1]\\
+\infty,&\text{otherwise }
\end{cases}
\end{align}
$$
Clearly $\operatorname{dom} f^* = [-1,1]$. Note here that $f^*$ is the indicator function of $[-1,1]$, therefore $f$ is the support function of this interval.
Now for the case where $x\in\mathbb{R}^n$ we have
$$
f(x) = 1'[x]_+,
$$
where $[x]_+=(\max(0,x_1), \max(0,x_2), \ldots, \max(0,x_n))$. Then $f^*$ can be written as
$$
\begin{align}
f^*(y) &= \sup_{x\in\mathbb{R}^n} \{y'x - f(x)\}\\
&= \sup_{x\in\mathbb{R}^n}
\left\{\sum_{i=1}^{n}y_i x_i - \sum_{i=1}^{n}\max(0,x_i)\right\}\\
&= \sup_{x\in\mathbb{R}^n}
\left\{\sum_{i=1}^{n}y_i x_i - \max(0,x_i)\right\}
\end{align}
$$
The sum is separable, therefore we can easily break down the big $\sup$ into a sum of $\sup$'s and use the previous result for the case $x\in\mathbb{R}$.
$$
\begin{align}
f^*(y) &= \sum_{i=1}^{n}\sup_{x_i\in\mathbb{R}}\{y_ix_i-\max(0,x_i)\}\\
&= \sum_{i=1}^{n}\delta(x_i\mid [-1,1])\\
&= \delta(x\mid \mathcal{B}_{\infty}),
\end{align}
$$
and of course $\operatorname{dom}f^* = \mathcal{B}_\infty$.