"Total Distance Traveled" is a logic-based simulation problem that tests your ability to model a simple process with specific rules. You are given two tanks: a mainTank and an additionalTank. For every 5 liters of fuel consumed from the mainTank, 1 liter is transferred from the additionalTank to the mainTank, provided the additionalTank has fuel. The car travels 10 km for every 1 liter of fuel consumed. The goal is to calculate the total distance the car can travel given initial fuel amounts.
This "Total Distance Traveled interview question" is often used to assess a candidate's basic coding fluency and attention to detail. Companies like Bloomberg and Meta use it to see if you can translate a set of word-based rules into a clean, functioning loop or mathematical formula. It's an "EASY" problem, but it requires careful implementation of the "every 5 liters" rule to ensure fuel is added at the correct moments.
The "Math, Simulation interview pattern" is perfectly suited for this. You can either use a while loop to simulate the consumption of fuel liter by liter or every 5 liters, updating the tanks accordingly. Alternatively, a more efficient mathematical approach involves calculating how many "5-liter cycles" can occur, but the simulation is often more intuitive during an interview. The key is to keep track of the total fuel used and the fuel remaining in both tanks.
Initial: mainTank = 10, additionalTank = 2.
mainTank. mainTank becomes 5.additionalTank. mainTank becomes 6, additionalTank becomes 1.mainTank. mainTank becomes 1.additionalTank. mainTank becomes 2, additionalTank becomes 0.mainTank.
Total fuel used: 5 + 5 + 2 = 12 liters.
Total distance: 12 * 10 = 120 km.A common error in the "Total Distance Traveled coding problem" is not checking if the additionalTank has fuel before attempting to transfer. Another mistake is transferring more than one liter at a time or not correctly resetting the "5-liter counter." Some candidates also fail to account for the remaining fuel in the mainTank that is less than 5 liters but still contributes to the total distance.
For "Math, Simulation interview pattern" problems, it's helpful to walk through a small example with a table or "dry run" to track the variables. This helps catch off-by-one errors or logical gaps in your simulation. Even for easy problems, clear and readable code that directly reflects the problem statement is highly valued by interviewers.