Get Probability
Reported by candidates from Akuna's online assessment. Pattern, common pitfall, and the honest play if you blank under the timer.
Akuna's September OA included a probability problem that caught candidates off guard. You're not building a calculator or parsing input. You're computing or reasoning about probability outcomes, often under constraints that make brute force fail. The trick is recognizing whether you need combinatorics, conditional probability, or a clever counting argument. StealthCoder will show you the formula and the pattern if you blank on the math midway through.
Pattern and pitfall
Probability problems in finance interviews usually hide a counting or simulation layer. You may need to enumerate outcomes, use Bayes' theorem, or count favorable cases over total cases. The common pitfall is forgetting boundary conditions, off-by-one errors in counting, or misinterpreting what 'probability' means in context (is it exact, approximate, within a tolerance). If the problem gives constraints on numbers or time limits, simulation or dynamic programming to avoid full enumeration is the hedge. Test small cases by hand first. StealthCoder catches the formula you half-remember and the edge case you skipped.
If this hits your live OA and you blank, StealthCoder solves it in seconds, invisible to the proctor.
You can drill Get Probability cold, or you can hedge it. StealthCoder runs invisibly during screen share and surfaces a working solution in under 2 seconds. The proctor sees the IDE. They don't see what's behind it. Built by an Amazon engineer who would have shipped this the night before his JPMorgan OA if he'd had it.
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Akuna reuses patterns across OAs. Built by an Amazon engineer who would have shipped this the night before his JPMorgan OA if he'd had it. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Get Probability FAQ
Is this a pure math problem or do I code it?+
Almost always you code it. You'll likely enumerate outcomes, build a lookup table, or simulate. Pure closed-form math is rare in OAs. Write code that counts or samples, then return the result as a float or fraction.
Do I need to return an exact answer or an approximation?+
Check the output format in the problem statement carefully. If it says 'to 6 decimal places' or 'as a reduced fraction', that's your guide. Most OAs want exact probability or a rounded float. Don't guess precision.
How do I handle large combinatorial spaces?+
If brute force enumeration times out, switch to dynamic programming, memoization, or mathematical simplification. Look for repeated subproblems or ways to group outcomes. Sometimes the pattern simplifies to a closed formula if you spot the symmetry.
What if I don't remember the probability formula?+
Fallback to simulation or counting. Generate all possible outcomes, filter for the event you care about, divide count by total. It's slower but correct. Probability = favorable outcomes / total outcomes.
Is this harder than typical LeetCode probability problems?+
Akuna leans harder on finance intuition and constraint handling. The math itself is not exotic, but the setup may be ambiguous. Read twice. Ask yourself what 'event' you're really counting.