Statistical Inference — type II error of a Neyman-Pearson discrete test

Let $X$ be a random sample with probability mass function under $H_0$ and $H_1$ given by $X: 1,2,3,4,5,6$ with $f_0(x): 0.01,0.01,0.01,0.01,0.01,0.95$ and $f_1(x): 0.05,0.04,0.03,0.02,0.01,0.85$. The Neyman-Pearson MP size $0.03$ test rejects $H_0$ if $x \le 3$. What is $P(\text{type II error})$ equal to?