Answer:
5
Explanation:
2⁵ = 32, so that fits.
In general, to calculate the number of bits without guessing, you can take the 2 log of the number and then round up:

rounded up gives 5.
Answer:
There is also an attachment below
Explanation:
Since we are talking about binary search, let's assume that the items are sorted according to some criteria.
Time complexity of binary search is O(logN) in worst case, best case and average case as well. That means it can search for an item in Log N time where N is size of the input. Here problem talks about the item not getting found. So, this is a worst case scenario. Even in this case, binary search runs in O(logN) time.
N = 700000000.
So, number of comparisions can be log(N) = 29.3 = 29.
So, in the worst case it does comparisions 29 times
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Answer:
b
Explanation:
C and D have equivalent iterations
C: D:
99 990
90 900
81 810
72 720
63 630
54 540
45 450
36 360
27 270
18 180
9 90