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Databricks Coding Interview Questions

27 Databricks coding interview problems with full optimal solutions — 18 easy, 7 medium, 2 hard. Every problem ships with multiple approaches (brute-force first, then the optimal), complexity tables for each, company-specific tips on what an Databricks interviewer values, and a FAQ section.

Showing 10 problems of 27

  • #4easysometimes asked

    4. Remove Duplicates from Sorted Array

    Modify a sorted array in-place to remove duplicates and return the new length. Databricks uses this to test the two-pointer / read-write head pattern that shows up in every distributed dedup operator.

  • #5easysometimes asked

    5. Remove Element

    Remove all occurrences of a value from an array in-place. Databricks uses this as the in-place-filter primitive that maps onto Spark's filter operator on a partition.

  • #6easysometimes asked

    6. Search Insert Position

    Given a sorted array, return the index where a target should be inserted to keep it sorted. Databricks uses this to verify you can write a binary search that returns the LEFT bound, which is the canonical primitive for range partitioning.

  • #8easyrarely asked

    8. Plus One

    Given a non-empty array of digits representing a non-negative integer, add one to the integer. Databricks asks this to see if you handle the carry-propagation cleanly and whether you reach for in-place mutation when the structure allows.

  • #9easysometimes asked

    9. Merge Sorted Array

    Merge two sorted arrays into the first one, in-place, where the first has trailing space to hold the result. Databricks uses this to test the back-to-front merge trick, which is the same memory-efficient pattern their sort-merge join uses.

  • #10easysometimes asked

    10. Binary Tree Inorder Traversal

    Return the inorder traversal of a binary tree's nodes' values. Databricks asks this to see if you can write both the recursive and iterative versions and explain why the iterative one matters in JVM-stack-bounded environments.

  • #11easyrarely asked

    11. Same Tree

    Check whether two binary trees are structurally identical with the same values. Databricks uses this to test recursive pattern-matching, which is the same template Catalyst uses to compare query subtrees during optimizer rule application.

  • #12easyrarely asked

    12. Symmetric Tree

    Determine if a binary tree is a mirror of itself around its center. Databricks asks this to test paired recursion — comparing two pointers that walk in opposite directions, which is the same primitive used in plan-folding and palindrome detection.

  • #14easysometimes asked

    14. Balanced Binary Tree

    Determine if a binary tree is height-balanced. Databricks asks this to test the post-order pattern where you return information up the tree to avoid recomputing heights at every node.

  • #15easysometimes asked

    15. Minimum Depth of Binary Tree

    Find the minimum depth of a binary tree (distance from root to nearest LEAF). Databricks asks this because it tests whether you can distinguish 'null child' from 'leaf' — a subtle case that catches candidates who only memorized max-depth.

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Databricks Coding Interview Questions — Full Solutions — InterviewChamp.AI