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Interview questions

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

1,290 resources · Page 48 of 54

  1. Interview questions · Visa

    Resolve Team Conflicts: Actions and Outcomes Explored

    This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Resolve Team Conflicts: Actions and Outcomes Explored states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  2. Interview questions · Amazon

    Resolve Team Conflicts and Deliver Beyond Project Scope

    This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Resolve Team Conflicts and Deliver Beyond Project Scope states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  3. Interview questions · Meta

    Resolve Team Conflicts and Exceed Job Expectations Successfully

    Evaluates behavioral interview readiness for initiative beyond formal responsibilities and team conflict resolution. Strong answers use STAR, explain why the candidate stepped in, show stakeholder management, quantify impact, and resolve conflict without blame.

  4. Interview questions · Meta

    Resolve Team Conflicts to Improve Delivery Efficiency

    Meta data scientist behavioral prompt on resolving workplace conflict using STAR, covering communication, empathy, data-informed decisions, delivery impact, stakeholder trust, and lessons learned.

  5. Interview questions · Meta

    Resolve teammate feeling unwelcome with measurable steps

    This question evaluates leadership competencies in managing psychological safety, conflict resolution, confidentiality, remote-team dynamics, evidence gathering, documentation, escalation, and outcome measurement.

  6. Interview questions · Microsoft

    Respond to behavioral prompts and availability

    This question evaluates behavioral and leadership competencies including communication and storytelling, the ability to summarize technical projects with measurable impact, decision-making rationale, and logistics such as start date and relocation.

  7. Interview questions · Morgan Stanley

    Respond to MS technology behavioral interview questions

    This question evaluates motivation, cultural fit, integrity, judgment, communication, and awareness of technology trends by asking about interest in the organization's technology division, an instance of noticing and addressing a problem, and perspectives on near-term industry developments.

  8. Interview questions · Amazon

    Respond to negative feedback and exceed requirements

    Respond to negative feedback and exceed requirements evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  9. Interview questions · Oracle

    Return a valid course completion order

    This question evaluates understanding of graph algorithms and dependency resolution, specifically skills in cycle detection and producing valid orderings of tasks.

  10. Interview questions · Amazon

    Return all valid word-break sentences

    This question evaluates skills in string processing, recursive search/backtracking, enumeration of all valid segmentations, and algorithmic complexity reasoning for generating multiple solutions.

  11. Interview questions · Others

    Return the largest file size in a directory

    This question evaluates shell scripting and filesystem manipulation skills, specifically recursive file traversal and file metadata handling using Unix command-line tools, and belongs to the Coding & Algorithms domain (Bash/File System).

  12. Interview questions · Airbnb

    Review a geospatial Python module

    This question evaluates proficiency in geospatial data processing and Python code review, including detection of correctness bugs, numerical stability issues, CRS handling, performance optimization, refactoring, testing strategy, and security considerations when working with CSV/GeoJSON datasets.

  13. Interview questions · Dropbox

    Review checkout code for defects and privacy

    This question evaluates a candidate's ability to audit a supermarket checkout implementation for monetary correctness, transactional integrity, security and privacy, and resilience, assessing competencies in precise financial handling, concurrency and idempotency, threat modeling, logging and redaction, and observability.

  14. Interview questions · Goldman Sachs

    Rolling Ball Maze Reachability

    Solve a rolling-ball maze reachability problem where direction changes are allowed only at stopping cells.

  15. Interview questions · Amazon

    Root-cause an incident and drive consensus

    This question evaluates root-cause analysis, incident management, cross-functional stakeholder coordination, and quantitative diagnostic reasoning in the context of a sudden drop in voice checkout conversion, testing product analytics, ML-driven user flows, and operational reliability within the Behavioral & Leadership category.

  16. Interview questions · Meta

    Run a clean A/B test for recommendations

    This question evaluates a data scientist's competency in experimental design, causal inference, and statistical power analysis for A/B tests, covering randomization unit choice, contamination prevention, metric and guardrail selection, clustering adjustments, and bias-control techniques.

  17. Interview questions · Dropbox

    Run org-safe online experiment for recommender

    This question evaluates a data scientist's competency in online experimentation design, causal inference, clustered randomization, metric definition (primary, secondary, guardrails), sample size/MDE computation, variance reduction and sequential monitoring, instrumentation and privacy-aware logging.

  18. Interview questions · Ixana

    Schedule batched register operations optimally

    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.

  19. Interview questions · Stripe

    Scope an open‑ended take‑home under constraints

    This question evaluates a candidate's competency in scoping and prioritizing a data‑science take‑home, stakeholder communication, risk identification, and trade‑off defense under strict time constraints.

  20. Interview questions · Enigma

    Search Book Titles

    This question evaluates proficiency in string processing, tokenization, case-insensitive matching, anagram detection, and algorithmic design for efficient search and deduplication.

  21. Interview questions · Vercel

    Search Recorded Metrics by Name, Tags, and Recency

    Record metrics and return the newest matches for name-and-tag searches, with explicit tag matching, timestamp ties, duplicates, and result limits.

  22. Interview questions · NVIDIA

    Sell GPUs to a retail CEO

    This question evaluates a candidate's ability to build a business and technical case for deploying GPUs across enterprise analytics and AI workloads, testing competencies in ROI/TCO modeling, workload discovery, pilot planning, stakeholder alignment, risk identification, and crafting data‑backed rebuttals.

  23. Interview questions · Meta

    Set the Group Call participant cap

    This question evaluates a candidate's competency in applied statistical modeling, change‑point or segmented regression, uncertainty quantification, sample‑size estimation and robustness analysis using telemetry to set operational participant caps while meeting QoE guardrails such as median MOS and dropped‑call rate.

  24. Interview questions · Meta

    Set up a Python interview environment

    This question evaluates proficiency in Python development environment setup, including dependency and virtual environment management, secure handling of environment variables for secrets, tooling for rapid feedback, reproducibility practices, and basic service scaffolding.