The Remove Zero Sum Consecutive Nodes from Linked List interview question asks you to repeatedly remove any consecutive sequence of nodes from a linked list whose values sum to zero, until no such sequence exists. The result is the modified linked list with all zero-sum sublists eliminated. This problem connects prefix sums with linked list manipulation.
This problem is asked at Apple, Uber, Microsoft, Meta, Amazon, Google, and Bloomberg because it combines two important concepts: the prefix sum technique (used for subarray sum detection) and linked list node deletion. It evaluates whether a candidate can transfer the classic "subarray sum equals K" pattern from arrays to linked lists, and handle the additional complexity of in-place node removal.
The pattern is prefix sum with a hash map on a linked list. Use a dummy node. Compute prefix sums as you traverse the list. Store each prefix sum in a hash map mapping to the most recent node that produced that prefix sum. If the same prefix sum is seen again, the nodes between the two occurrences sum to zero — remove them by setting the node's next pointer appropriately. A second pass (or careful single-pass) applies all removals.
List: 1 → 2 → -3 → 3 → 1
Prefix sums:
3 → 1Result: 3 → 1.
Alternate: the 3 and 1 also don't form any zero-sum, so the final answer is 3 → 1.
[1, -1, 1, -1]).For the Remove Zero Sum Consecutive Nodes from Linked List coding problem, the linked list and hash table interview pattern with prefix sums is the key. A clean two-pass approach works well: first pass builds the prefix sum → node map, second pass removes zero-sum sequences. Interviewers at Google and Bloomberg may ask for a single-pass approach — be ready to explain why careful map updates during a single traversal also suffice. Practice deriving prefix sums on a linked list before your interview.
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