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Coding & Algorithms Interview Questions

Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.

9403
Questions
546
Companies
11
Topics
8
Languages

Showing 1231–1260 of 3276 results

  • GoogleMediumSoftware Engineer
    Maintain k-th largest in a stream

    This question evaluates understanding of data structures and streaming algorithms for maintaining k-th order statistics under dynamic inserts, emphasizing time-space trade-offs and correct handling of duplicates.

    Coding & AlgorithmsOnsite
  • GoogleMediumSoftware Engineer
    Maintain streaming median and loosemedian

    This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Maintain streaming median and loosemedian states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Coding & AlgorithmsOnsite
  • GoogleMediumSoftware Engineer
    Match Dictionary Words to a Swipe-Keyboard Gesture Path

    A coding problem modeled on a swipe keyboard: given the ordered keys a finger passed over and a dictionary, return every word the gesture could spell. It tests precise handling of the start and end keys, doubled letters and duplicate words, and efficient matching of many dictionary words against one gesture path.

    Coding & AlgorithmsOnsite
  • GoogleMediumData Scientist
    Match payments to invoices by memo or amount

    This problem tests string parsing, hash-map based data indexing, and multi-criteria reconciliation logic (fuzzy matching via IDs vs. exact matching via amount).

    Coding & AlgorithmsTechnical ScreenHashingStringsData Reconciliation
  • GoogleMediumSoftware Engineer
    Match people to questions using tags and priorities

    This problem tests your ability to model a constrained matching problem using greedy or flow-based approaches while managing priority queues for tie-breaking.

    Coding & AlgorithmsTechnical ScreenGreedyHeapsSorting
  • GoogleMediumSoftware Engineer
    Maximize 1D deliveries within distance and minimize total distance

    This problem tests your ability to prioritize objectives using a greedy strategy or sorting to maximize deliveries while minimizing travel cost within a constrained route.

    Coding & AlgorithmsTechnical ScreenSortingGreedyOptimization
  • GoogleMediumSoftware Engineer
    Maximize Boundary-Difference Subarray Sum

    This question evaluates algorithmic problem-solving skills with emphasis on array processing, constrained subarray sums, and the design of time- and space-efficient algorithms within the Coding & Algorithms domain.

    Coding & AlgorithmsOnsite
  • GoogleMediumSoftware Engineer
    Maximize Throughput Packing Reserved Compute Slots With Limited Stock

    Choose how many reserved instances of each type to allocate into a shared rack-slot budget, each instance occupying exactly one slot, to maximize total throughput score given limited stock per type.

    Coding & AlgorithmsTechnical Screenknapsackgreedysorting
  • GoogleMediumSoftware Engineer
    Maximize coins collected by 3-step pieces

    This question evaluates modeling and optimization of discrete state-space transitions under movement constraints, testing combinatorial reasoning, reachability, and resource-maximization competencies.

    Coding & AlgorithmsOnsite
  • GoogleMediumSoftware Engineer
    Maximize coins collected by tokens jumping +3

    Evaluates algorithmic reasoning about constrained discrete moves and optimization, focusing on state-space modeling, reachability under move constraints, and resource-maximization techniques.

    Coding & AlgorithmsOnline Assessment
  • GoogleMediumSoftware Engineer
    Maximize sum without choosing adjacent elements

    This problem tests your ability to solve optimization challenges using dynamic programming by identifying overlapping subproblems and optimal substructure in an array.

    Coding & AlgorithmsTechnical ScreenDynamic ProgrammingArrayOptimization
  • GoogleMediumSoftware Engineer
    Maximize the Equal Wood Segment Length

    Tests the ability to solve an optimization problem by applying binary search over a monotonic search space (binary search on answer).

    Coding & AlgorithmsOnsitebinary-searcharraysgreedy
  • GoogleMediumSoftware Engineer
    Maximum Value from Unit-Weight Items with Limited Copies Under a Capacity

    Find the maximum total value that fits in a bag whose capacity can reach one billion units, when every item weighs one unit and each item type has a value and a limited number of identical copies. Tests judging which knapsack techniques scale to huge capacities and copy counts, plus 64-bit arithmetic for large totals.

    Coding & AlgorithmsTechnical Screen
  • GoogleHardSoftware Engineer
    Merge Two Named Trees: First Tree's Names and Order, Second Tree's Values

    Merge two trees whose nodes carry a name, an integer value and an ordered list of children, keeping the first tree's names and child order while taking values from the second. Same-name children pair up by order of appearance and second-tree leftovers are appended, testing careful recursive construction from a rule-heavy specification.

    Coding & AlgorithmsOnsite
  • GoogleMediumSoftware Engineer
    Min deletions to avoid overlap in first k

    This problem tests your ability to identify and remove the minimum number of elements from an array such that a specified prefix contains only unique elements.

    Coding & AlgorithmsTechnical ScreenArraysHash MapsGreedy
  • GoogleMediumSoftware Engineer
    Minimize Direction Violations in a Directed Road Network

    Find the minimum number of edge reversals needed to travel from a source node to a target node in a directed graph. Tests graph modeling (0-1 weighted edges), edge cases like parallel edges and disconnected components, and efficient shortest-path traversal.

    Coding & AlgorithmsOnsiteGraphBFSShortest Path
  • GoogleMediumMachine Learning Engineer
    Minimize Fence Painting Operations

    This problem tests your ability to use a greedy approach or dynamic programming to find the minimum number of strokes required to paint a fence of varying heights.

    Coding & AlgorithmsTechnical ScreenGreedyStackArrays
  • GoogleMediumData Scientist
    Minimize L2, L1, and quantile losses

    This question evaluates understanding of statistical estimators and optimization principles for L2, L1, and tilted absolute (quantile) loss functions, including use of derivatives and subgradients, order-statistics, algorithmic complexity, and robustness considerations.

    Coding & AlgorithmsTechnical Screen
  • GoogleHardSoftware Engineer
    Minimize maximum height along a grid path

    This problem tests your ability to adapt shortest-path algorithms, such as Dijkstra's or Binary Search on the answer, to minimize the maximum edge/node weight along a path.

    Coding & AlgorithmsTechnical ScreenGraphDijkstraBinary Search
  • GoogleMediumSoftware Engineer
    Minimum Cars for Rental Requests

    Determine the minimum number of rental cars required to service a given list of booking requests with half-open time intervals.

    Coding & AlgorithmsOnsiteintervalsheapgreedy
  • GoogleMediumSoftware Engineer
    Minimum Path Node Count with an Optional Broken Vertex

    Find the minimum number of vertices on a path between two nodes in an unweighted graph while avoiding a designated broken vertex.

    Coding & AlgorithmsOnsitegraphbfsshortest-path
  • GoogleMediumSoftware Engineer
    Most Active Users in a Live Communication Stream

    This problem tests your ability to efficiently manage and rank real-time event counts using hash maps and balanced data structures or heaps, focusing on deduplication and stream processing.

    Coding & AlgorithmsOnsiteHash MapsStream ProcessingData Structures
  • GoogleMediumData Scientist
    Normalize Columns in Binomial Matrix Efficiently

    This question evaluates proficiency in matrix manipulation, handling of binomial random samples, column normalization, and algorithmic efficiency for processing large numerical arrays.

    Coding & AlgorithmsTechnical Screen
  • GoogleMediumSoftware Engineer
    Optimize 0/1 to bounded knapsack DP

    This question evaluates mastery of dynamic programming for knapsack problems, focusing on state formulation, space-time optimization, and reconstructing optimal item sets.

    Coding & AlgorithmsOnsite
  • GoogleMediumSoftware Engineer
    Parse a Nested-List String and Compute Its Weighted Sum

    Implement a parser that processes a string representation of a nested list and computes the depth-weighted sum of all non-negative integers contained within it.

    Coding & AlgorithmsOnsiteString ParsingStackSimulation
  • GoogleMediumSoftware Engineer
    Parse strings and find meeting slots

    This question evaluates string parsing and data-extraction skills alongside set/array-based aggregation and algorithmic reasoning for calendar availability and time-window constraints.

    Coding & AlgorithmsOnsite
  • GoogleMediumSoftware Engineer
    Predict the Most Frequent Next Word in Constant Time

    Design and implement a next-word prediction class that builds transition frequencies from adjacent words in sequences and returns the most likely successor for a given word in average constant time.

    Coding & AlgorithmsOnsiteHash TableDesignString
  • GoogleMediumSoftware Engineer
    Rearrange Tasks With Cooldown

    This problem tests your ability to manage dependencies and scheduling constraints using a greedy strategy with a priority queue.

    Coding & AlgorithmsTechnical ScreenGreedyPriority QueueHash Map
  • GoogleHardSoftware Engineer
    Repeatedly Delete Leaves Matching a Target Value From a Binary Tree

    Remove every binary-tree leaf whose value equals a target, repeating as parents turn into matching leaves, and return the possibly empty result in level-order form. It tests reasoning about cascading deletions, correct handling of the root, and edge cases such as matching internal nodes that keep a child.

    Coding & AlgorithmsTechnical Screen
  • GoogleMediumSoftware Engineer
    Return Unique Three-Sum Value Triples

    Return all unique value triples that reach a target using three distinct input positions, with canonical ordering despite duplicate values. Candidates are evaluated on duplicate control, overflow-safe sums, nonmutation, output-sensitive complexity, and careful boundary cases.

    Coding & AlgorithmsOnsite