The High Rollers
A medium Python mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.
- Domain
- Python
- Difficulty
- medium
- Seniority
- L4
Interview Prompt
Given a list of wager dicts (each with a 'user' key and an 'amount' key) and a threshold (a percentile in the range 0..100), sum each user's total amount. Compute the threshold-th percentile of the per-user totals using linear interpolation between the two closest ranks (the numpy/'linear' convention): sort the totals, let rank = threshold/100 * (n - 1) over the n unique users, and interpolate between sorted_totals[floor(rank)] and sorted_totals[floor(rank)+1] by the fractional part. Return the alphabetically sorted list of usernames whose total is STRICTLY greater than that cutoff. With threshold 0.01 the cutoff sits just above the smallest total, so only users above the very bottom qualify.
Summary
Not every gambler bets the same - some wager far more than others.
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Write your python solution with real code execution
- Get instant feedback and a hire/no-hire decision