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TripAdvisor Coding Interview Questions

31 TripAdvisor coding interview problems with full optimal solutions — 22 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 TripAdvisor interviewer values, and a FAQ section.

Showing 31 problems of 31

  • #19easyfoundational

    19. Number of Islands

    Count disconnected landmasses in a grid — Tripadvisor uses this graph-traversal pattern to reason about clustering isolated attraction zones or destination regions on their travel maps.

  • #20easyfoundational

    20. Clone Graph

    Deep-copy a connected undirected graph — Tripadvisor mirrors this challenge when duplicating destination networks or recommendation graphs for A/B testing without corrupting the live data structure.

  • #21easyfoundational

    21. Top K Frequent Elements

    Return the k most frequent values in an array — Tripadvisor applies this exact heap/bucket pattern to surface the top-k trending destinations or most-reviewed attractions on their homepage.

  • #22easyfoundational

    22. Group Anagrams

    Cluster strings that are anagrams of each other — Tripadvisor applies this hash-map grouping pattern to deduplicate and cluster synonym hotel names or misspelled destination tags in their search index.

  • #23mediumfoundational

    23. Course Schedule

    Detect whether a dependency graph contains a cycle — Tripadvisor uses this topological-sort pattern to validate that itinerary leg dependencies (visa requirements, connection airports) form a feasible travel plan with no circular conflicts.

  • #24mediumfoundational

    24. Merge Intervals

    Collapse overlapping date ranges into minimal non-overlapping blocks — Tripadvisor applies this interval-merge pattern constantly: consolidating overlapping hotel availability windows, booking blackout periods, and trip-leg date ranges for seamless itinerary display.

  • #25mediumfoundational

    25. LRU Cache

    Design a cache that evicts the least-recently-used entry when capacity is exceeded — Tripadvisor uses LRU caches throughout their recommendation pipeline to keep hot destination and hotel data in memory without unbounded growth.

  • #26mediumfoundational

    26. Word Search

    Find whether a word exists in a 2D character grid via adjacent cells — Tripadvisor's content team uses backtracking grid-search logic to detect destination or attraction name patterns embedded in structured review matrices.

  • #27mediumfoundational

    27. Find Peak Element

    Locate a local maximum in an unsorted array in O(log n) — Tripadvisor uses binary search on unimodal signals to find peak engagement periods in destination popularity curves and seasonal booking trend data.

  • #28mediumfoundational

    28. K Closest Points to Origin

    Return the k nearest coordinates to a center point — Tripadvisor's geo-search engine applies this heap/quickselect pattern to surface the k nearest hotels, restaurants, or attractions to a traveler's current location.

  • #29mediumfoundational

    29. Minimum Window Substring

    Find the shortest substring containing all required characters — Tripadvisor's review-analysis pipeline applies this sliding-window pattern to locate the most concise snippet in a hotel review that covers all required quality keywords for search-result snippets.

  • #30hardfoundational

    30. Trapping Rain Water

    Calculate total water trapped between elevation bars after rainfall — Tripadvisor's geographic elevation team models terrain profiles for outdoor activity recommendations, and this two-pointer DP pattern is a canonical elevation-analysis building block.

  • #31hardfoundational

    31. Word Ladder

    Find the shortest transformation sequence between two words — Tripadvisor's destination-graph team applies BFS shortest-path reasoning to compute minimum-hop routes between destination nodes in their travel-graph recommendation engine.

  • #1easyfoundational

    1. Two Sum

    Given an array of integers and a target, return indices of the two numbers that add up to the target.

  • #10easyfoundational

    10. Same Tree

    Check whether two binary trees are structurally identical and have equal node values.

  • #18easyfoundational

    18. Single Number

    Find the element that appears only once in an array where every other element appears twice.

TripAdvisor Coding Interview Questions — Full Solutions — InterviewChamp.AI