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Chegg Coding Interview Questions

25 Chegg coding interview problems with full optimal solutions — 14 easy, 8 medium, 3 hard. Every problem ships with multiple approaches (brute-force first, then the optimal), complexity tables for each, company-specific tips on what an Chegg interviewer values, and a FAQ section.

Showing 14 problems of 25

  • #1easyfoundational

    1. Two Sum

    Find two indices in an array whose values sum to a target — Chegg uses this to filter for hash-map fluency on student-question lookup paths.

  • #2easyfoundational

    2. Valid Parentheses

    Validate balanced brackets using a stack — Chegg uses this to check stack fluency for parsing student LaTeX answers.

  • #3easyfoundational

    3. Merge Two Sorted Lists

    Splice two sorted linked lists into one — Chegg uses this to check pointer hygiene on ordered tutor-availability merges.

  • #5easyfoundational

    5. Remove Element

    Remove all occurrences of a value in place — Chegg uses this to validate two-pointer instincts on filter-content tasks.

  • #6easyfoundational

    6. Search Insert Position

    Find the index where a target would be inserted in a sorted array — Chegg uses this to test binary-search rigor on textbook-page indexing.

  • #7easyfoundational

    7. Plus One

    Increment a number represented by a digit array — Chegg uses this to check carry-propagation logic for tutor-session counter rollovers.

  • #8easyfoundational

    8. Merge Sorted Array

    Merge two sorted arrays in place into the first — Chegg uses this to test reverse-pointer thinking on tutor-rating roll-ups.

  • #10easyfoundational

    10. Same Tree

    Check whether two binary trees are structurally identical with equal values — Chegg uses this to verify recursion fluency on duplicate-content checks.

  • #11easyfoundational

    11. Symmetric Tree

    Detect mirror symmetry in a binary tree — Chegg uses this to test mirrored-recursion comfort on layout symmetry checks.

  • #13easyfoundational

    13. Balanced Binary Tree

    Determine if a binary tree is height-balanced — tests ability to combine depth computation with tree validation, relevant to Chegg's content-tree consistency checks.

  • #14easyfoundational

    14. Path Sum

    Check if a root-to-leaf path sums to a target — a foundational tree traversal problem Chegg uses to assess recursion and path-tracking skills.

Chegg Coding Interview Questions — Full Solutions — InterviewChamp.AI