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Coding & Algorithms interview questions

3276 Coding & Algorithms questions from 366 companies, with hints, runnable code and solution walkthroughs.

Questions3276

273 easy2539 medium464 hard

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Coding & Algorithms interview questions by the numbers

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Katkat has 3,276 Coding & Algorithms interview questions from 366 companies; the most come from Amazon (7%), Meta (7%) and Google (6%). By difficulty: 8% easy, 78% medium and 14% hard. The most common round is Technical Screen (52%). Frequent concepts include Algorithms, Data Structures, Arrays and Greedy.

Companies (366)

Difficulty

  • Easy8% · 273
  • Medium78% · 2539
  • Hard14% · 464

Interview rounds

  • Technical Screen52% · 1706
  • Onsite33% · 1080
  • Online Assessment13% · 427
  • HR Screen1% · 37
  • Other1% · 26

Roles

  • Software Engineer80% · 2629
  • Machine Learning Engineer8% · 253
  • Data Scientist7% · 241
  • Data Engineer1% · 45
  • Backend Engineer1% · 26

Frequent concepts

  • Algorithms9% · 302
  • Data Structures7% · 228
  • Arrays5% · 176
  • Greedy5% · 164
  • Optimization5% · 151
  • Hash Map4% · 124

Showing 1411–1440 of 3276 results

  • This question evaluates a candidate's ability to design and implement time-ordered in-memory data structures and APIs, testing competencies in temporal event ordering and precedence, scheduled deletions, priority-sorted retrieval, user-task assignment, and historical (time-travel) queries.

    InstacartSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This problem tests your ability to manage overlapping time intervals, perform efficient lookups on historical state changes, and calculate cumulative payroll based on dynamic shift rates.

    InstacartSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Optimize file reading and expression DFS states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    InstacartSoftware EngineerCoding & AlgorithmsHR Screen
  • This question evaluates proficiency in on-disk file I/O, streaming algorithms, offline indexing for sublinear lookups, and system-level performance considerations for validating credentials in large files.

    InstacartSoftware EngineerCoding & AlgorithmsHR Screen
  • This question evaluates proficiency in grid traversal, sequence-driven state tracking, string manipulation, and boundary/obstacle validation while requiring time and space complexity reasoning.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates file parsing, matrix indexing with a specified coordinate origin, handling multiple indexed blocks, and string assembly into an ordered password, testing competencies in file I/O, coordinate transformations, and robust input handling.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Pivot order-status counts states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • Resolve a target variable through an acyclic chain of named assignments until reaching an integer literal, independent of definition order.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • This problem tests your ability to efficiently merge and find elements in sorted arrays, focusing on optimal time complexity and edge case handling.

    InstacartMachine Learning EngineerCoding & AlgorithmsTechnical Screen
  • 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 bank, password, expression algorithm tasks states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates a candidate's ability in parsing, expression evaluation, and nested string decoding, including handling malformed input, character encoding nuances, and large-file streaming considerations.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • This problem tests the ability to iterate through sorted intervals and calculate values based on overlapping ranges, requiring careful boundary handling.

    Interactive BrokersSoftware EngineerCoding & AlgorithmsOnline Assessment
  • Practice a Interactive Brokers coding interview problem focused on calculate tax in a progressive marginal tax system. The prompt emphasizes edge cases, clean implementation, and verifiable test behavior without revealing the solution.

    Interactive BrokersSoftware EngineerCoding & AlgorithmsOnline Assessment
  • A data engineering coding screen on greedy scheduling under a cooldown constraint: produce an ordered list of products, one per day, where each product type must cool down for `space` days before it can be produced again. Candidates must return the minimum number of days, ideally in O(n) time using a hash map of last-produced days.

    Interactive BrokersData EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates string manipulation and algorithmic problem-solving skills, focusing on identifying palindromic substrings and reasoning about performance and edge cases. Commonly asked in the Coding & Algorithms domain to assess practical algorithmic application, it gauges understanding of time/space complexity, input constraints, and robustness in implementation.

    IntersystemsSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This problem tests creative logical reasoning and the ability to decompose time-based tasks into parallelizable components without standard measurement tools.

    IntersystemsSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This problem tests your understanding of ordered map iteration, the impact of modifying collection traversal, and handling accumulation logic in a state-dependent loop.

    IntersystemsSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This problem tests your ability to handle array-based arithmetic and carry-over logic, specifically focusing on edge cases like digit overflow and resizing the array.

    IntuitSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates understanding of graph traversal and shortest-path computation, including modeling business relationships as undirected graphs and interpreting degrees of separation on the shortest path.

    IntuitSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates proficiency in text parsing, tokenization, and numeric comparison applied to command-line style output, emphasizing robust handling of varied input formats and edge cases.

    IntuitSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This question evaluates understanding of cache eviction policies (LRU and LFU), frequency tracking, and the design of data structures that support efficient get/put operations while meeting time and space complexity constraints.

    IntuitSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This problem tests your ability to perform manual addition on an array representing a large integer, specifically handling carry propagation and dynamic resizing when the integer overflows its current digit count.

    IntuitSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This problem tests your ability to reconstruct a valid topological ordering (parent-before-child) from a parent-child relationship array while maintaining lexicographical minimality.

    IntuitSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This question evaluates competencies in string algorithms (word segmentation and palindrome validation), data structures and complexity analysis, and practical frontend React implementation with performance considerations.

    IntuitSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates understanding of string algorithms, combinatorial counting, and algorithmic optimization for aggregating pairwise mismatch costs across all substrings.

    IntuitSoftware EngineerCoding & AlgorithmsOnline Assessment
  • This question evaluates understanding of bracket matching and string parsing, testing competency with basic data structures and algorithmic reasoning such as stack-based matching and correct handling of nested delimiters.

    IntuitSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates scheduling and ordering under timing constraints, read-after-write hazards, intra-batch dependency handling, and the ability to parse and execute register read/write operations.

    IxanaSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This problem tests your ability to detect cycles in a directed graph to determine if a set of dependent tasks can be successfully completed.

    J.P. MorganSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates understanding of dynamic programming for strings, specifically longest palindromic subsequence concepts such as memoization, bottom-up DP, space optimization and subsequence reconstruction.

    J.P. MorganSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates algorithmic problem-solving across arrays and strings, covering concepts such as sliding-window techniques on circular arrays, wraparound handling, index recovery after single-character deletion, duplicate-character considerations, and time/space complexity analysis within the Coding & Algorithms domain.

    J.P. MorganSoftware EngineerCoding & AlgorithmsTechnical Screen

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