The add and replace cases weren't too bad to reason through.
First, clarify the operation definitions and edge cases, especially the 'move' operation, which is ambiguous. Then, propose a solution that checks each operation type systematically, using length differences to narrow down possibilities, and handle the move operation by checking if the strings can be made equal by relocating one character.
Pro tip: Demonstrate awareness of the ambiguity in 'move' and suggest a precise definition (e.g., remove a character and insert it elsewhere) to show attention to detail. Also, discuss time/space complexity and potential optimizations.
Ask the interviewer to define 'move' precisely and confirm if operations are case-sensitive, if strings can be empty, and if the operation must be exactly one (not zero).
Use length comparison to quickly eliminate impossible cases: if lengths differ by more than 1, only 'move' (which preserves length) or 'replace' (same length) might apply, but 'add'/'remove' require length difference of 1.
For add/remove, verify if the longer string can be obtained by inserting/deleting one character from the shorter. For replace, check if exactly one character differs at the same position.
If lengths are equal and replace fails, check if moving one character (remove and insert elsewhere) can transform one string into the other. This can be done by finding the first mismatch and verifying if the remaining substrings match after accounting for the moved character.
Return the operation if found, else indicate no single operation works. Analyze time complexity (likely O(n)) and space complexity (O(1) or O(n) depending on implementation).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.