The "Lexicographically Smallest Generated String interview question" is a string reconstruction challenge. You are given a target string and a pattern. You need to construct the lexicographically smallest string that, when a certain operation is applied (like a sliding window match or a specific transformation), results in the target. This "Lexicographically Smallest Generated String coding problem" requires careful placement of characters to satisfy constraints while keeping values as low as possible.
This problem tests a candidate's ability to reason about overlapping constraints and "Greedy interview pattern" implementation. Companies like TikTok use it to evaluate how you handle conflicts between different parts of a generated string and whether you can find a valid solution in a single pass or with minimal backtracking.
The general pattern is Greedy placement with validation. You initialize a result string with a placeholder (like '?'). You iterate through the target string and, based on its values, fill in the corresponding characters of your result string using the pattern. If a cell is already filled and conflicts with the current pattern, the generation is impossible. Finally, fill all remaining '?' with 'a' to ensure it's lexicographically smallest.
Target: "101", Pattern: "aba"
When building a string to be "lexicographically smallest," always default to the smallest character ('a') unless a constraint forces you to use something else. Process the hard constraints first, then fill in the rest greedily.