coding
Databricks
Snowflake
Amazon

Databricks Code: Shortest Path in a Fibonacci Tree

Topics:
Trees
Preorder Traversal
Lowest Common Ancestor
Roles:
Software Engineer
Backend Engineer
SWE
Experience:
Entry Level
Mid Level
Senior

Question Description

Problem summary

You are given order k and two node labels (start and end) in a preorder-labeled Fibonacci tree. T(0) and T(1) are single nodes; for k>=2, T(k) has left = T(k-2) and right = T(k-1). Labels are assigned by preorder and may be 0-based or 1-based. Your goal is to return the sequence of labels along the unique path between start and end (inclusive), without constructing the whole tree.

What you'll be asked to do (flow)

First, derive subtree sizes up to order k using the Fibonacci-like recurrence (you can compute these iteratively in O(k) time). Then, for each endpoint (start and end) descend from the root using label arithmetic: at each subtree decide whether the target label is the root, in the left range, or in the right range and update the current base label and order accordingly. Record the root-to-node label sequences for both endpoints. Find their longest common prefix to identify the lowest common ancestor (LCA), then stitch the final path by reversing the start->root segment up to the LCA and appending the LCA->end segment.

Skill signals interviewed

You should demonstrate: working with implicit/implicit-indexed trees, recursion/iterative descent, deriving and using subtree sizes (Fibonacci recurrence), handling 0/1-based label conventions, computing lowest common ancestor from root-to-node paths, and producing an algorithm that avoids allocating nodes proportional to the tree size. Explain correctness and give an analysis of time/space using k (tree order) and L (length of the returned path).

Common Follow-up Questions

  • How would you modify the algorithm to return only the distance (number of edges) between start and end instead of the full path?
  • If the tree used inorder or postorder labeling instead of preorder, how would you adapt the label-arithmetic descent to compute paths?
  • What changes are required to handle extremely large k where subtree sizes exceed 64-bit integers (e.g., using big integers or modular arithmetic)?
  • Can you produce the path iteratively without recursion and still guarantee O(k + L) time and O(k + L) extra space?
  • How would you compute the LCA directly (without building full root-to-node lists) using only label ranges and subtree sizes?

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4Compute distance between two nodes in a recursively defined tree using subtree sizes

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Databricks Coding: Shortest Path in Fibonacci Tree | Voker