The problem itself is not hard but I fumbled the input structure at first.
Clarify the input structure and edge cases, then propose a single-pass solution that iterates through the list, checks the boolean flag, and sums the employee counts for open locations. Discuss time and space complexity, and consider if any optimizations or alternative approaches are worth mentioning.
Pro tip: Always confirm the data types and whether the employee counts list can be empty or contain non-integers; this shows attention to detail and prevents incorrect assumptions. Also, mention that you would write unit tests for edge cases like all locations closed or empty input.
Restate the problem in your own words and ask clarifying questions about the input format, expected output, and edge cases.
Explain that you will iterate through each location, check if it's open, and if so, sum its employee counts. Emphasize maintaining original order.
State that the time complexity is O(n*m) where n is number of locations and m is average number of employee counts per location, and space complexity is O(1) extra if summing on the fly.
Discuss edge cases such as empty input, all locations closed, or locations with empty employee count lists, and how your solution handles them.
Walk through a simple example to verify the solution, and possibly mention writing unit tests.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.