Consider the Neyman-Pearson Lemma for testing $H_0: \theta = \theta_0$ against $H_1: \theta = \theta_1$. If the likelihood ratio $\Lambda(x) = \frac{L(\theta_0|x)}{L(\theta_1|x)}$ is used to define the rejection region $R = \{x : \Lambda(x) < k\}$, what property does this test possess?