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Coding questions

Explore algorithm tutorials, coding and system design questions, interview experiences, and computer science study guides.

1,899 resources · Page 68 of 80

  1. Coding questions · Microsoft

    Solve budget queries and shortest path

    This question evaluates algorithmic design and data-structure selection for efficient preprocessing and query answering, along with shortest-path computation and graph representation choices, testing complexity analysis, large-input handling, path reconstruction, and edge-case reasoning in the Coding & Algorithms domain.

  2. Coding questions · Snowflake

    Solve build ordering and expression evaluation

    This question evaluates competency in graph algorithms (topological ordering and cycle detection) and in parsing/evaluating arithmetic expressions with correct operator precedence, associativity, unary operators, and 64-bit integer semantics.

  3. Coding questions · Two Sigma

    Solve capital selection and grid escape

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

  4. Coding questions · Meta

    Solve classic LeetCode problems

    This question evaluates proficiency with core data structures and algorithmic techniques including array selection and ordering, string pattern grouping, interval/rectangle merging, and binary search tree range queries.

  5. Coding questions · Yahoo

    Solve Data Structure Challenges with Python Algorithms

    This question evaluates proficiency in fundamental data structure manipulation and string-processing algorithms, specifically preserving insertion order during list deduplication and performing iterative overlap-based word merging.

  6. Coding questions · Meta

    Solve Data-Structure Problems in Python Interview Round

    This question evaluates proficiency in data-structure manipulation and aggregation in Python, covering digit/string processing, frequency counting with group-level deduplication, and interval-based summation across records.

  7. Coding questions · Airbnb

    Solve Decimal Coin Change

    This question evaluates proficiency in dynamic programming for coin-change problems and competency in numerical precision and safe handling of decimal monetary values in algorithmic implementations.

  8. Coding questions · eBay

    Solve Dependency, Prefix, and Cache Problems

    This set of problems evaluates graph algorithms for dependency and cycle detection, efficient data structure design for prefix-based word storage, and cache eviction policy implementation, assessing skills in algorithmic analysis, data structures, and time/space complexity within the Coding & Algorithms domain.

  9. Coding questions · Uber

    Solve DFS grid and keypad problems

    This question evaluates understanding of DFS and backtracking for grid traversal and combinatorial generation, assessing skills in graph traversal, recursion, connected-component counting, and mapping digit sequences to letter combinations.

  10. Coding questions · Meta

    Solve diameter and shortest bridge problems

    This question evaluates proficiency with tree and graph data structures and traversal techniques, focusing on computing binary tree metrics and shortest-path distances in grid-based graphs.

  11. Coding questions · Apple

    Solve Digit-Square and Grid BFS Problems

    This question evaluates understanding of digit-based state convergence and cycle detection alongside graph traversal and constrained shortest-path search, testing skills in number manipulation, state-space search, and BFS-style exploration.

  12. Coding questions · Meta

    Solve diverse LeetCode algorithm problems

    This collection evaluates proficiency with fundamental data structures and algorithmic techniques — including matrix and graph traversal, hash-based sets for O(1) operations, linked list manipulation, sliding-window strategies, recursive processing of nested structures, and stack/string handling — along with complexity analysis and reliable implementation. Commonly asked in the Coding & Algorithms domain, these problems assess pattern recognition, algorithmic reasoning, and practical implementation skills under time and space constraints, emphasizing applied problem-solving over purely theoretical concepts.

  13. Coding questions · TikTok

    Solve four algorithm design tasks

    This multi-part question evaluates algorithm design and data-structure competencies including wildcard string pattern matching and trade-offs between dynamic programming and greedy strategies, dynamic pair-sum maintenance under frequent updates, O(1) LRU cache design, and scheduling/ordering for time-constrained threat neutralization.

  14. Coding questions · Meta

    Solve four algorithmic library problems

    These tasks evaluate algorithmic problem-solving, data structure design, stateful system validation, and string-processing correctness by combining an optimization selection problem, a mutable location-management ADT, chronological event-log validation, and constrained anagram checking.

  15. Coding questions · Nebius

    Solve four coding problems

    This set of problems evaluates algorithmic problem-solving skills focused on array and string manipulation, frequency and multiset reasoning, sliding-window and coverage concepts, and combinatorial counting for palindromability.

  16. Coding questions · Meta

    Solve Four Online Assessment Problems

    This multi-part question evaluates algorithmic problem-solving across array manipulation, exact fraction comparison, scheduling and simulation with ordered event lists, matrix transformation operations, and string concatenation/counting, exercising skills in data structures, searching, and combinatorial counting.

  17. Coding questions · Amazon

    Solve frequency sort and all-pairs sum

    Solve frequency sort and all-pairs sum evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  18. Coding questions · Lyft

    Solve grid compromise spread with BFS

    This question evaluates proficiency in graph traversal and grid-based simulation, specifically multi-source breadth-first search, state propagation modeling, and algorithmic complexity analysis within the Coding & Algorithms domain, emphasizing practical application of implementation and reasoning.

  19. Coding questions · TikTok

    Solve grid min path and sqrt by binary search

    This question evaluates proficiency in dynamic programming and algorithm design for grid-based path optimization as well as numerical methods and binary search for square-root approximation, encompassing time/space complexity analysis, external-memory handling for very large matrices, overflow avoidance, and numerical stability.

  20. Coding questions · Meta

    Solve grid path and robot navigation

    This question evaluates proficiency in graph traversal and pathfinding, state representation for unknown environments, exploration and backtracking, and rigorous reasoning about correctness and time/space complexity.

  21. Coding questions · Meta

    Solve grid path and top‑k frequency

    This question evaluates algorithmic problem-solving in grid reachability and frequency analysis, testing concepts such as grid/graph traversal and obstacle handling for path existence alongside frequency counting and selection for top-k elements.

  22. Coding questions · Meta

    Solve grid shortest path and robot cleaning

    This question evaluates a candidate's ability to implement grid-based graph traversal and stateful simulation, assessing skills in shortest-path search and systematic exploration for cleaning tasks.

  23. Coding questions · Disney

    Solve grid shortest path with BFS

    This question evaluates understanding of grid traversal and shortest-path graph search, including modeling a 2D grid with obstacles and reasoning about boundary and edge cases, within the Coding & Algorithms domain.

  24. Coding questions · BlackRock

    Solve hierarchy distance and digit-square convergence

    This question evaluates understanding of tree and graph modeling, shortest-path reasoning, iterative function behavior and cycle detection, along with time and space complexity analysis within the Coding & Algorithms domain.