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Instacart Coding Interview Questions

28 Instacart coding interview problems with full optimal solutions — 16 easy, 10 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 Instacart interviewer values, and a FAQ section.

Showing 28 problems of 28

  • #17mediumfoundational

    17. Number of Islands

    Count connected land regions in a 2D grid — Instacart interviewers use this to test whether you can model a store's floor-map zones and traverse them efficiently for pick-path planning.

  • #18mediumfoundational

    18. Meeting Rooms II

    Find the minimum number of rooms required to schedule overlapping meetings — Instacart mirrors this directly onto delivery-window scheduling where overlapping shopper slots compete for the same fulfillment capacity.

  • #19mediumfoundational

    19. Top K Frequent Elements

    Return the k most frequently occurring integers — Instacart uses frequency ranking everywhere from surfacing top-ordered items to ranking stores by pickup volume in real-time catalog queries.

  • #20mediumfoundational

    20. Word Break

    Determine if a string can be segmented using a dictionary — Instacart applies this DP pattern when parsing user-typed grocery queries that contain concatenated product tokens against the catalog word list.

  • #21mediumfoundational

    21. Network Delay Time

    Find the time for a signal to reach all nodes in a weighted graph — Instacart uses this exact shortest-path pattern to estimate worst-case delivery propagation across its fulfillment network.

  • #22mediumfoundational

    22. Insert Interval

    Insert a new interval into a sorted, non-overlapping list and merge as needed — Instacart uses this when a new delivery window is injected into an existing shopper schedule without disturbing confirmed slots.

  • #23mediumfoundational

    23. Coin Change

    Find the minimum number of coins that sum to an amount — Instacart draws on this classic DP pattern when computing the fewest batch trips a shopper should make to cover a list of item weights optimally.

  • #24hardfoundational

    24. Find Median from Data Stream

    Maintain a running median as numbers stream in — Instacart applies this pattern to real-time delivery-time tracking where the median ETA must update on every new completed order without a full re-sort.

  • #25mediumfoundational

    25. LRU Cache

    Design a cache that evicts the least recently used item when full — Instacart caches store inventory snapshots in memory for sub-millisecond catalog reads; LRU eviction keeps the hottest stores resident.

  • #26mediumfoundational

    26. Course Schedule

    Detect whether a set of prerequisite dependencies contains a cycle — Instacart uses topological-sort cycle detection when validating that recipe ingredient substitution chains don't loop back on themselves.

  • #27mediumfoundational

    27. K Closest Points to Origin

    Find the k nearest pickup points to a warehouse — Instacart's last-mile team uses this to assign the closest available shoppers to a new order when multiple drivers are in range.

  • #28hardfoundational

    28. Minimum Window Substring

    Find the shortest substring containing all required characters — Instacart uses the sliding-window pattern when scanning product descriptions for a mandatory set of nutritional keywords in the shortest possible text span.

  • #1easyfoundational

    1. Two Sum

    Find two array indices whose values sum to a target — the warmup Instacart uses to gauge baseline hash-map fluency before pricing or inventory matching follow-ups.

  • #2easyfoundational

    2. Valid Parentheses

    Validate that brackets close in the correct order — Instacart uses this as a stack-discipline check before more involved order-state validation problems.

  • #3easyfoundational

    3. Merge Two Sorted Lists

    Merge two sorted linked lists into one — Instacart maps this onto merging two ETA-sorted delivery queues into a single shopper feed.

  • #5easyfoundational

    5. Remove Element

    Remove all occurrences of a value in place — Instacart uses this to test in-place array discipline before harder shopper inventory pruning problems.

  • #6easyfoundational

    6. Search Insert Position

    Binary search for insertion point in a sorted array — Instacart uses this to gauge binary-search fluency before pricing-tier lookups.

  • #7easyfoundational

    7. Plus One

    Increment a number represented as an array of digits — Instacart uses it as a carry-propagation warmup before inventory-counter bumps.

  • #8easyfoundational

    8. Merge Sorted Array

    Merge two sorted arrays in place — Instacart frames this as merging a primary shopper bag with overflow items from a backup bag.

  • #10easyfoundational

    10. Same Tree

    Decide if two binary trees are structurally identical — Instacart probes recursion fluency before comparing inventory snapshots across stores.

  • #11easyfoundational

    11. Symmetric Tree

    Check if a binary tree is a mirror of itself — Instacart picks this as a recursion-pairing warmup ahead of layout-symmetry problems.

  • #13easyfoundational

    13. Balanced Binary Tree

    Check if a binary tree is height-balanced — Instacart screens recursion-with-bailout fluency before harder routing-tree balance checks.

  • #15easyfoundational

    15. Pascal's Triangle

    Generate the first N rows of Pascal's triangle — Instacart uses this for array-iteration warmups before promo-tier breakdown problems.

Instacart Coding Interview Questions — Full Solutions — InterviewChamp.AI