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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.
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Showing 2371–2400 of 3276 results
- Point72HardData EngineerImplement Election Report and Banking Pipeline
This multipart question evaluates data engineering competencies including SQL report design for complex aggregation and ranking, plus PySpark-based ETL and transaction-level analytics.
Coding & AlgorithmsOnline Assessment - Point72HardData EngineerImplement Portfolio Trading Optimizer
This question evaluates algorithmic problem-solving, array processing, input validation via decorators, and the ability to produce concise transaction reports for maximizing non-overlapping buy/sell profits.
Coding & AlgorithmsTechnical Screen - Point72HardData ScientistImplement composition and mixin utilities
This problem tests proficiency in functional composition, Python metaclass/decorator patterns, and custom serialization logic, focusing on handling flexible arguments and object introspection.
Coding & AlgorithmsOnline AssessmentPythonFunctional ProgrammingSerialization - Point72HardSoftware EngineerMaximize Fixed Positions After Deletions
This problem tests your ability to use dynamic programming and data structures to maximize elements in a subsequence that align with their new indices after removing elements.
Coding & AlgorithmsOnline AssessmentDynamic ProgrammingGreedyData Structures - Point72MediumData ScientistMaximize outfits with distinct colors
This question evaluates competency in combinatorial optimization and constrained resource-allocation algorithms, along with analysis of time and space complexity and robustness to skewed input distributions and edge cases.
Coding & AlgorithmsTechnical Screen - Point72HardSoftware EngineerSimulate a Deterministic Finite Automaton
Implement and run a Deterministic Finite Automaton (DFA) simulator that parses state transitions over a binary alphabet and determines if input strings are accepted.
Coding & AlgorithmsOnline AssessmentFinite AutomataState MachineDesign - Point72EasyData EngineerSolve SQL and PySpark Data Tasks
This question tests your ability to handle data cleaning, filtering, and aggregation using both SQL and PySpark syntax on a transaction dataset.
Coding & AlgorithmsOnline AssessmentSQLPySparkData-Cleaning - Pony.AiMediumSoftware EngineerImplement a Min-Heap with Insert and Remove-Min
Implement a binary min-heap from scratch using a zero-indexed array, supporting insertion, peek, and extraction of the minimum element in logarithmic time.
Coding & AlgorithmsTechnical ScreenHeapData StructuresBinary Heap - PurestorageMediumSoftware EngineerCount All-One Square Submatrices
Tests dynamic programming and 2D grid traversal skills by counting the total number of square submatrices filled entirely with ones.
Coding & AlgorithmsTechnical Screendynamic-programmingmatrixarrays - PurestorageMediumSoftware EngineerDetermine whether points form squares
This question evaluates computational geometry, combinatorial counting, and algorithmic optimization skills by requiring validation of a non-degenerate square from four 2D integer points and counting distinct squares in a larger point set, and it falls under the Coding & Algorithms category.
Coding & AlgorithmsOnsite - QualcommMediumSoftware EngineerCompute the Diameter of an Undirected Tree
Compute the diameter of a large undirected tree, measured by the number of edges on its longest simple path. The exercise tests adjacency construction, linear-time tree traversal, endpoint reasoning, recursion-depth awareness, and edge cases such as a single-node tree.
Coding & AlgorithmsTechnical Screen - QualcommMediumSoftware EngineerFind the First Bad Version in a Monotonic Release History
Find the earliest bad entry in a monotonic release history, returning -1 when every version is good. This compact coding prompt tests boundary-safe binary search, empty and all-good inputs, first-element failures, loop invariants, and logarithmic performance on histories with up to a million versions.
Coding & AlgorithmsTechnical Screen - QualcommMediumSoftware EngineerImplement A* Maze Search
This question evaluates proficiency in informed search algorithms, heuristic design (admissibility), grid-based graph traversal, path reconstruction, and time/space complexity analysis.
Coding & AlgorithmsTechnical Screen - Qube Research & TechnologiesHardSoftware EngineerCompute expected days until no whole pills
This problem tests your ability to model a stochastic process using a system of linear equations and solve it using expectation theory.
Coding & AlgorithmsTechnical ScreenProbabilityExpectationDynamic Programming - Qube Research & TechnologiesMediumSoftware EngineerImplement flat_map and design wealth redistribution
This question evaluates low-level data structure implementation skills (designing an associative flat_map with sorted dynamic array storage, unique-key semantics, iterator correctness and amortized complexity) alongside algorithmic optimization and proof-based reasoning for integer-constrained wealth redistribution.
Coding & AlgorithmsTechnical Screen - Qube Research & TechnologiesMediumSoftware EngineerImplement flat_map, redistribute wealth evenly
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Implement flat_map, redistribute wealth evenly states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsTechnical Screen - QuinceMediumSoftware EngineerCheck Whether a Word Repeated K Times Is a Subsequence
This problem tests the ability to optimize string pattern matching by using modular arithmetic and pointer manipulation to avoid unnecessary memory allocation.
Coding & AlgorithmsOnline AssessmentStringsTwo PointersGreedy - QuinceMediumSoftware EngineerOpen the Minimum Number of Sprinklers to Cover a Garden
This problem tests greedy algorithm design and interval scheduling techniques to solve a coverage optimization task.
Coding & AlgorithmsOnline AssessmentGreedyIntervalsSorting - QuoraMediumSoftware EngineerCount distinct palindromic subsequences
This question evaluates proficiency in string algorithms and combinatorial counting, focusing on recognition and enumeration of palindromic subsequences and techniques for deduplicating distinct results.
Coding & AlgorithmsTechnical Screen - RampHardSoftware EngineerDetect recurring transactions from a ledger
This question evaluates skills in detecting temporal recurrence patterns in transaction data, including time-series analysis, date arithmetic, grouping by merchant and currency, and tolerance handling for amounts and date jitter.
Coding & AlgorithmsTechnical Screen - RampMediumSoftware EngineerFind User Airport at a Time
This problem tests your ability to efficiently query temporal interval data for a specific user using binary search and interval manipulation.
Coding & AlgorithmsTechnical ScreenSortingBinary SearchIntervals - RampMediumSoftware EngineerFind an Exit in a URL Maze
This question evaluates graph traversal and state-management skills, emphasizing handling cycles, HTTP error conditions, retry logic, and propagation of authorization tokens in a networked client.
Coding & AlgorithmsTechnical Screen - RampMediumSoftware EngineerFind exit URL via BFS API calls
This question evaluates graph traversal and resilience when interacting with HTTP APIs, covering BFS/DFS reasoning, cycle detection to avoid infinite loops, retry handling for transient HTTP 500 responses, and timeout management for slow pages.
Coding & AlgorithmsTechnical Screen - RampMediumSoftware EngineerImplement a multi-level digital recipe manager
Tests skills in data modeling and stateful class implementation, covering CRUD operations, case-insensitive string handling, recipe ID generation, list management, search and sort logic, and basic user/edit permissions.
Coding & AlgorithmsOnline Assessment - RampMediumSoftware EngineerImplement multi-level task manager APIs
This question evaluates implementation skills for stateful in-memory data structures, API evolution handling, substring search and prioritized sorting, and time-windowed assignment logic with quota enforcement in the Coding & Algorithms domain, and is primarily a practical application problem rather than a purely conceptual one.
Coding & AlgorithmsOnline Assessment - RampMediumSoftware EngineerMaximize Earnings by Converting Days Off into Workdays
This question evaluates a candidate's skill in dynamic programming and constrained optimization, specifically deciding which state transitions to modify under a limited budget of changes. It falls under coding and algorithms interviews, testing practical application of greedy or DP reasoning over sequential data with adjacency-based bonuses rather than pure conceptual knowledge.
Coding & AlgorithmsOnline Assessment - RampMediumSoftware EngineerMaximum Profit from Dated Stock Trade Records
This question evaluates a candidate's ability to design an efficient single-pass algorithm for grouped time-series data, tracking per-symbol running minimums to compute maximum achievable profit. It tests array processing, hash-map grouping, and edge-case handling for unsorted records, commonly used in coding interviews to assess practical algorithmic problem-solving rather than pure theory.
Coding & AlgorithmsOnline Assessment - RampMediumSoftware EngineerMaximum Profit from Multi-Stock Trading Records
This question evaluates a candidate's ability to parse and sort unstructured event data, then apply a greedy or dynamic-programming strategy for maximizing profit across multiple independent series. It falls under coding and algorithms, commonly used to assess array processing, state tracking, and stock-trading pattern recognition at a practical implementation level.
Coding & AlgorithmsOnline Assessment - RampMediumSoftware EngineerMulti-Level Warehouse Storage with Weighted Retrieval
This question evaluates a candidate's ability to design an object-oriented data structure with multiple prioritized eviction and expiration rules. It tests skills in coding and algorithms, specifically simulating TTL-based expiry alongside tiered, capacity-aware selection logic. Such multi-rule state machine problems are common in interviews to assess careful requirement tracking and practical implementation of layered constraints.
Coding & AlgorithmsOnline Assessment - RampMediumSoftware EngineerNavigate maze via HTTP API
This question evaluates a candidate's ability to implement programmatic traversal of linked resources via an HTTP API, testing skills in network I/O, control flow, state management, and algorithmic traversal.
Coding & AlgorithmsTechnical Screen
Point72
Qualcomm
Qube Research & Technologies
Ramp