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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 31 of 80
Coding questions · Instacart
Evaluate dependent variable expressions
This question evaluates a candidate's ability to parse and evaluate assignment expressions, resolve inter-variable dependencies, and detect cycles or unsolvable references.
Coding questions · Rippling
Evaluate Expense and Trip-Level Rules as Data
Evaluate configurable expense and trip-sum rules using exact cents, reusable typed predicates, strict thresholds, multiple flags, and deterministic result ordering.
Coding questions · Amazon
Evaluate IP Access Rules
This question evaluates knowledge of IPv4 addressing, CIDR subnet matching, and access-control rule resolution, assessing competency in bitwise address reasoning, prefix-length precedence, and rule tie-breaking.
Coding questions · Instacart
Evaluate Ordered Variable Definitions with Addition and Subtraction
Evaluate ordered variable definitions and plus/minus expressions with an explicit directional grammar, while distinguishing assignment lookup from general equation solving.
Coding questions · Pika
Evaluate Spreadsheet Cells and Reject Circular References
Implement a small spreadsheet whose cells hold integers or single-reference formulas with offsets. Evaluate through current dependencies, propagate updates, report unset chains, and reject a formula atomically whenever it would introduce a circular reference.
Coding questions · Akuna Capital
Evaluate SQL expressions for zero
This question evaluates understanding of SQL type coercion, boolean semantics, comparison operators, and dialect-specific evaluation behavior (for example, MySQL), focusing on interpreting expressions that may evaluate to zero.
Coding questions · Applied Intuition
Evaluate variables in simple arithmetic DSL
This question evaluates implementation skills in parsing and evaluating a small arithmetic DSL, covering variable assignment parsing, symbol resolution, and evaluation order; it falls under the Coding & Algorithms category and emphasizes practical application and engineering of a correct evaluator rather than abstract theory.
Coding questions · Patreon
Evaluate word-guess feedback with repeats
This question evaluates string manipulation, multiset/frequency tracking, and stateful validation across rounds, with particular emphasis on handling repeated letters and multiplicity constraints in feedback generation.
Coding questions · Citadel
Every MEX Reachable With At Most One Bounded Increment
A coding problem about memory blocks with values below n: using at most one increment of a single value, never raising a value to n, list every minimum excluded value (MEX) the array can end up with. It tests careful case analysis of how one increment can open or fill a gap, handling duplicate values, and returning the sorted answer efficiently.
Coding questions · Intuit
Exclude free subscribers via anti-join
This question evaluates competency with SQL anti-joins, join semantics, deduplication, and correct pre-aggregation filtering to prevent excluded entities from affecting aggregated monthly and year-over-year metrics; it is categorized as Data Manipulation (SQL/Python) for a Data Scientist role.
Coding questions · Tubi
Execute TTL Cache Operations with Fetch-on-Miss
Implement a deterministic TTL cache simulator with put, get, delete, size, and fetch-on-miss operations. Preserve expired records until deletion or replacement, model loader success and failure explicitly, and validate timestamped JSON-compatible inputs.
Coding questions · Abridge
Expand a Nested Repeat-Count Encoded String
From an Abridge online assessment: decode a string in which k[text] means the bracketed text repeated k times, with multi-digit counts, nested brackets and plain letters between encoded parts. It tests parsing nested structure correctly and building the expanded output efficiently.
Coding questions · WeRide
Expand algebraic expression with distribution
This question evaluates parsing of algebraic expressions, application of the distributive law, string manipulation, and algorithmic reasoning about time and extra-space complexity.
Coding questions · TikTok
Explain a SQL query result
This question evaluates proficiency in SQL result-set interpretation and reasoning about joins, filters, aggregations, window functions, NULL handling, duplicate rows, and ordering within the Data Manipulation (SQL/Python) domain for a Data Engineer role.
Coding questions · xAI
Explain and Implement Strings
This question evaluates understanding of string data structures, memory layout, ownership and move semantics in Rust, and algorithmic complexity related to copying and performance.
Coding questions · Citadel
Explain hash maps and solve array intersection
This question evaluates a candidate's understanding of hash map internals — including array/bucket layout, hash function selection, collision resolution strategies, load factor and resizing behavior, deletion semantics, time-space trade-offs — alongside algorithmic problem-solving for computing intersections across k integer arrays and the generalization to elements appearing in at least t arrays, with attention to duplicates and edge cases. It is commonly asked to assess mastery of core data structures, algorithm design and complexity analysis within the Coding & Algorithms domain, testing both conceptual understanding of data-structure internals and practical application of algorithmic reasoning and performance trade-offs.
Coding questions · TikTok
Explain Java DI, AOP, and transactions
This question evaluates understanding of Java framework internals and related competencies including dependency injection, aspect-oriented programming and proxy mechanisms, transaction management, annotation processing, bean lifecycle, classpath scanning, bean scopes, and circular dependency detection or resolution.
Coding questions · Amazon
Explain MySQL to MS SQL Server query syntax differences.
This question evaluates a candidate's understanding of SQL dialect differences between MySQL and MS SQL Server — including alias scope, CTE structure, ordering semantics, and lexical range comparisons that affect query portability and correctness.
Coding questions · Rbcroyalbank
Explain pandas and SQL basics
This question evaluates familiarity with pandas data structures (Series vs DataFrame), SQL filtering semantics (WHERE vs HAVING), and practical SQL aggregation for detecting duplicate records, assessing competencies in data manipulation, aggregation, and basic data quality checks.
Coding questions · Rbcroyalbank
Explain Pandas and SQL Basics
This question evaluates understanding of pandas and SQL fundamentals—specifically pandas Series vs DataFrame distinctions, SQL WHERE vs HAVING semantics, and practical duplicate-detection in transactional data—targeting data manipulation competency for Data Engineer roles.
Coding questions · Capital One
Explain Python Virtual Environment Setup and Function Analysis
This question evaluates proficiency in Python environment management, code comprehension and line-by-line explanation, algorithmic time and space complexity analysis, and unit testing and packaging practices (including docstrings and pytest).
Coding questions · Capital One
Explain Shell Script Line-by-Line for Data Science Workflows
This question evaluates familiarity with shell scripting for reproducible data-science workflows, Python object-oriented design including transformer patterns (fit/transform separation), outlier detection and imputation strategies, code-style critique, and unit testing competency.
Coding questions · Character.AI
Explain strings and copy complexity
This question evaluates understanding of string data structures, memory layout, copy complexity, move semantics, and language-specific behavior such as Rust's move model.
Coding questions · xAI
Explain strings, moves, and concurrency
This question evaluates understanding of string data structures, ownership and move semantics (including Rust-specific move behavior), and concurrency models such as threads versus asynchronous coroutines, testing competencies in memory management, performance analysis, and concurrent programming.