To summarize so far, we have:
P(A) = 0.4
P(A') = 0.6
P(C|A) = 0.0055
P(C|A') = 0.9895
Now use the Law of Total Probability to be able to say the following
P(C) = P(C and A) + P(C and A')
P(C) = P(C | A)*P(A) + P(C | A')*P(A')
P(C) = 0.0055*0.4 + 0.9895*0.6
P(C) = 0.5959
Next, apply Bayes Theorem
P(A | C) = P(C | A)*P(A)/P(C)
P(A | C) = 0.0055*0.4/0.5959
P(A | C) = 0.0036918946132
The result is approximate.
Round that value however you need to.