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Binary Tree Maximum Path Sum: which companies ask it and how to practise

Binary Tree Maximum Path Sum is a Hard problem that 24 companies are reported to ask. This page shows who, how often and how recently, what the question tests, and how to practise it out loud with an interviewer who asks follow-ups. We link to the original problem statement instead of copying it.

Which companies ask Binary Tree Maximum Path Sum?

Public company lists attribute Binary Tree Maximum Path Sum, a Hard problem, to 24 companies. The most frequent askers are Baidu, DoorDash and Wix. 7 reports are from the last six months. It mainly tests dynamic programming, tree and depth-first search. Use this as a practice guide, not a promise.

Practise this kind of question aloud

Who asks Binary Tree Maximum Path Sum

24 companies appear in the public lists for this question. By how often each is reported: Baidu (very often), DoorDash (very often), Wix (very often), Nutanix (often), Adobe (often), Citadel (often), Amazon (often), TikTok (often), Datadog (often) and Salesforce (often), and 14 more. 7 of them were reported in the last six months, Adobe, Amazon and Meta among them.

These are candidate reports collected in public lists, not statements from the companies. They are a good guide to what to practise and a poor guide to what you will be asked: interviewers change questions, and the same company asks different questions by team and level. Last reviewed 25 October 2026.

What Binary Tree Maximum Path Sum tests

It is rated Hard, so a correct brute force with a clear path to the better idea is a good result; interviewers watch how you reason when the answer is not obvious and how you use their hints.

Dynamic programming is solving a problem from the answers to smaller copies of itself. Start with the plain recursion, find the repeated states, then store them; explain what the state means before you write any table.

Tree questions are usually a traversal with a small piece of state carried down or returned up. Say which one you chose.

Depth-first search follows one path to its end before backing up. Say how you mark visited nodes and what the recursion depth could be.

How to practise it

Do not just solve it silently. In a real interview you explain the approach before you code, write while you talk, and defend the solution to follow-ups. Set a timer, say the brute force and its cost first, then improve it, and finish by stating the time and space complexity and two edge cases you tested.

On giveinterview you can take this kind of question as a spoken interview: the AI interviewer opens with the problem, watches you code, asks cross-questions and ends with a scorecard. Your first 3 single-question interviews are free for life, every interview report is free, and a new account also gets 6 welcome credits.

Read the original statement here: https://leetcode.com/problems/binary-tree-maximum-path-sum/ (opens the publisher's page). The statement is theirs; we do not reproduce it.

Questions to practise next

If you can solve Binary Tree Maximum Path Sum, try these next, chosen because they share its main topic and many of the same companies: Best Time to Buy and Sell Stock (Easy), Longest Palindromic Substring (Medium), Trapping Rain Water (Hard), Maximum Subarray (Medium), Coin Change (Medium) and House Robber (Medium). Each has its own page in the questions list.

Frequently asked questions

Is Binary Tree Maximum Path Sum asked at Amazon?

Amazon appears in the public lists for Binary Tree Maximum Path Sum, reported often. Treat that as a reason to practise it, not a promise you will be asked it.

How hard is Binary Tree Maximum Path Sum?

It is rated Hard, so a correct brute force with a clear path to the better idea is a good result; interviewers watch how you reason when the answer is not obvious and how you use their hints.

Do I need to memorise the solution?

No. Interviewers listen for how you reason: the approach, the trade-offs, the edge cases and the complexity. Practise explaining it, not reciting it.

Sources and review date

Last reviewed 25 October 2026 Statements about other products come from their own public pages:

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