A p value tells us the probability of observing data at least as extreme as what we got, if the null hypothesis were actually true. The rule for rejecting the null hypothesis is simply to line up the p value against the significance level $\alpha$, which is 0.01 here, and reject $H_0$ whenever the p value falls below it. Let's line up all four values against 0.01.
So only p = 0.004 and p = 0.009 fall below the 0.01 cutoff, and these are the two values for which the null hypothesis gets rejected.
Let's summarize:
Therefore, options (A) and (D) are the p values that lead to rejection of the null hypothesis.