Bayesian network probability truth table

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I am working on a bayesian network problem and have been given the following table of data:

 A  |  B  |  P(D=true | A,B)
 ---------------------------
 F     F           0.9
 F     T           0.6 
 T     F           0.5 
 T     T           0.1 

If I wanted to determine the simple probability of D being true, how would I do this? I think that all of these events in the table are mutually exclusive, since A and B can only take on 1 value at a time. Would I just add all these probabilities to get P(D being true)?

Any help would be greatly appreciated!