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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 7 problems of 31

  • #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.

TripAdvisor Coding Interview Questions — Full Solutions — InterviewChamp.AI