Estimation question

Estimate the number of people passing through security scans daily in an airport of your choice.

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Fermi estimation using known operational parameters, anchored to a specific, checkable airport.

Pick a specific airport, e.g. a large hub like SFO or JFK.
Estimate the number of security lanes, e.g. 15, and throughput per lane per hour, e.g. 150 passengers.
Estimate operating hours per day, e.g. 18 hours of active screening.
Multiply lanes times throughput times hours to get a daily total.
Sanity-check against the airport's known annual passenger volume divided by 365.
State the final estimate as a range with the math shown.

Picks a named airport rather than estimating in the abstract, making assumptions checkable.
Uses a defensible per-lane throughput based on typical security lane speed.
Cross-checks the result against the airport's publicized annual passenger volume divided by days in a year.
States the final number with the math shown, not just asserted.

Not picking a specific airport, making the estimate impossible to sanity-check.
Ignoring that passengers typically clear security only once, inflating the count if double-counted.

Chapters of the AI PM course that teach what this question tests.