Answer: option E
Step-by-step explanation: the power of a test is the probability of reject the null hypothesis when the alternative is true, while β is the probability of committing a type 2 error an error committed when you accept the null hypothesis when you are suppose to reject it.
β = 1 - α
Where α is the level of significance and the probability of committing a type 1 error and error you commit when you are suppose to accept the null hypothesis but you rejected it.
From the question, α = 0.01, hence β = 1 - 0.01 = 0.99