One Episode, Two Updates

Tabular prediction with $\alpha = 0.1$, $\gamma = 1$, and every state initialised to $V = 0.5$. A single episode is observed:

$A \xrightarrow{,r=0,} B \xrightarrow{,r=0,} C \xrightarrow{,r=1,} \text{terminal}$

Apply constant-$\alpha$ Monte Carlo, $V(S_t) \leftarrow V(S_t) + \alpha[G_t - V(S_t)]$, and TD(0), $V(S_t) \leftarrow V(S_t) + \alpha[R_{t+1} + \gamma V(S_{t+1}) - V(S_t)]$. What is $V(A)$ after this one episode under each method?