Do you have any logic in mind?

When asked if you have any logic in mind, interviewers are usually probing your ability to think through a problem systematically. Start by clarifying the problem: ask for constraints, input size, edge cases, and expected output. Then outline a high‑level approach before diving into details. For example, if the task is to find the maximum subarray sum, you might mention Kadane’s algorithm: iterate once, keep a running sum, reset when it becomes negative, and track the maximum. Explain why this works (it considers all subarrays ending at each index) and its O(n) time and O(1) space complexity. If the problem involves data structures, discuss trade‑offs (e.g., using a hash map for O(1) lookups vs. a balanced tree for ordered data). Always justify your choices, consider edge cases, and be ready to adjust if new constraints appear. This demonstrates clear reasoning, algorithmic knowledge, and communication skills.