E.g 1: A(n) = log(2^n) + n^(1/3) + 1000 Would I be right to say that the last 2 terms can be "ignored" as they are insignificant as compared to the first? And thus the bound is O(2^n)?
If you simplify the expression, you get A(n) = n*log(2) + n^(1/3) + 1000. The last two terms grow more slowly than the first, n*log(2), which is simply O(n). Hence A(n) is O(n).
E.g 2: B(n) = n + (1/2)*n + (1/3)*n + (1/4)*n + ... + 1 I am more uncertain about this one, but I would give a guess that it would be O(n)? 1 is ignored (as per reasoning for 1000 in E.g. 1), that's what I'm sure.
This one is tricky because it involves an infinite series. If you only had n + (1/2)*n + (1/3)*n + (1/4)*n, then it would be equivalent to a*n with some fractional a, and that is O(n). However, since the expression is a divergent infinite series known as the harmonic series, you cannot conclude that B(n) is O(n). In fact, B(n) can be simplified as S_k(1/i)*n + 1 as k tends to infinity, with S_k(1/i) the sum of 1/i with i from 1 to k. And because S_k diverges as k tends to infinity, B(n) also tends to infinity, assuming n>0.
In the end, B(n) in not bounded. It doesn't have a proper order of growth.
Edit: if B(n) does not contain an infinite series but instead stops at (1/n)*n, which is the last 1 in your expression, then the answer is different.
The partial sums of the harmonic series have logarithmic growth. That means that B(n)/n, which is exactly the partial sum, up to n, of the harmonic series, is O(log n). In the end, B(n) is simply O(n log n).