You can get the left side of the equation and breadth by using objective data. Then you can calculate Information Coefficient, which is what you really want to know.
Imagine you are a CIO of a pension fund and want to know the skill level (= IC) of a fund manager, which is not readily observable. You can estimate it by plugging the fund manager’s observable alpha (excess return over benchmark), TE (standard deviation of alpha) and BR (number of securities traded) into the above formula.
You are correct in that the two formulas are equivalent; however, your explanation RE: the CIO is slightly flawed. Excess return is not the same thing as alpha, in either the ex-post or ex-ante definitions. Additionally, the breadth is not so simply the number of securities traded; rather, it is the number of independent active bets made within the portfolio during the period in question. However, per your logic, one could estimate the IC given all the correct inputs as described above. With respect to how they’ll ask you on the exam, i’m fairly certain they’ll either use one method or the other to test your knowledge in lieu of setting each other equal…although, there’s always a first for everything