Hypothesis Testing $X \sim Exp(\text{mean} =\frac{1}{\theta})$: Rejection Region and Power Function

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I am working on a problem and I would like to have some advice. The following is the given information.

1), $X$ is exponential with mean $\frac{1}{\theta}$.

2), $H_0: \theta =5$ vs $H_1: \theta<5$

3), $\alpha=.05$

and our goal is

a), Find the rejection region.

b), Find the power function and determine where it is maximized.

What I have tried so far is this.

Edited:

$$ Pr[X > k | \theta = 5] = \alpha$$ so

$$e^{-k(5)} = \alpha$$ and $$\begin{align} k & = -\frac{1}{5}\ln (\alpha) \\ & \sim .599 \end{align}$$

So I am thinking that the rejection region is when the sample is greater than or equal to $.599 \space$ .

Moving on,

$$\begin{align} \gamma(\theta) & = Pr[X > .599|\theta < 5] \\ & = e^{-.599 \space \theta} \end{align}$$

I am more used to using concrete numbers rather than theory, so I am not too confident if I am doing this right.

I would really appreciate any help.