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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 4 of 54

  1. Interview questions · Deutsche Bank

    Answer mixed behavioral and technical deep-dive questions

    This question evaluates a software engineer's combined behavioral and technical competencies, including communication, leadership, conflict resolution, system integration and API contracts, debugging, testing strategies, documentation practices, and use of AI tools.

  2. Interview questions · Capital One

    Answer motivation and teamwork questions

    The question evaluates motivation, cultural fit, communication, teamwork, conflict-resolution, and the ability to describe concrete impact from collaborative work.

  3. Interview questions · Natwest

    Answer NatWest behavioral prompts

    Prepare NatWest internship behavioral answers for program motivation, commitments, diverse teamwork, decision-making, embracing opportunities, and staying current on technology. The solution uses STAR examples, finance-tech interest, ownership, curiosity, and reflection.

  4. Interview questions · Coinbase

    Answer ownership and ambiguity behavioral questions

    Prepare data-science behavioral answers for data changing a decision, bad data quality, and prioritizing ambiguous stakeholder requests. The solution emphasizes STAR structure, risk analytics, incident-style data triage, decision-oriented analysis, guardrails, and cross-functional ownership.

  5. Interview questions · Salesforce

    Answer ownership, conflict, and failure recovery questions

    This question evaluates ownership, conflict resolution, incident response, stakeholder management, and accountability competencies relevant to software engineering.

  6. Interview questions · Shopify

    Answer Product DS HR Screen

    This prompt evaluates behavioral and leadership competencies for a product data scientist role, including product thinking, stakeholder management, communication, motivation, team composition and dynamics, and the ability to articulate business impact and role scope.

  7. Interview questions · Bloomberg

    Answer project and leadership behavioral questions

    This question evaluates leadership, project management, communication, reflection, conflict resolution, and task-allocation competencies within the Behavioral & Leadership domain for a software engineering role.

  8. Interview questions · OpenAI

    Answer project deep dive and cross-functional questions

    This question evaluates technical leadership, communication, and cross-functional collaboration by probing project ownership, system architecture and trade-offs, failure analysis, motivation, and conflict-resolution behavior.

  9. Interview questions · DoorDash

    Answer rapid-fire behavioral questions

    Answer rapid-fire behavioral questions 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.

  10. Interview questions · Dropbox

    Answer rapid-fire leadership checklist

    This question evaluates leadership competencies in privacy decision-making, risk management, stakeholder negotiation, incident prioritization, mentoring, and end-to-end ownership within a data science and operational engineering context.

  11. Interview questions · MathWorks

    Answer SDET internship behavioral interview questions

    This set of behavioral prompts evaluates communication, structured storytelling, technical judgment, learning agility, conflict resolution, and alignment of career goals—core competencies for an SDET internship.

  12. Interview questions · eBay

    Answer senior behavioral questions

    This question evaluates a senior engineer's leadership, influence, communication of impact, and ability to articulate complex technical challenges, and it sits in the Behavioral & Leadership category for software engineering roles.

  13. Interview questions · Amazon

    Answer senior-level behavioral questions

    Answer senior-level behavioral questions 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.

  14. Interview questions · Siemens

    Answer Siemens project manager behavioral questions

    Prepare for the Answer Siemens project manager behavioral questions interview question with a structured prompt, clarifying questions, answer rubric, follow-up probes, and a stronger model solution. This behavioral & leadership guide helps candidates frame assumptions, trade-offs, metrics, and role-relevant evidence without relying on generic answers.

  15. Interview questions · Confluent

    Answer standard behavioral prompts

    This set of behavioral prompts evaluates ownership, leadership, communication, judgment, accountability, resilience, and time-management competencies for software engineers.

  16. Interview questions · Instacart

    Answer standard behavioral questions

    How to answer the standard behavioral and leadership questions in an Instacart Software Engineer onsite using the STAR framework. Covers tell-me-about-yourself, end-to-end ownership, high-severity incidents, conflict and disagreement, failure and learning, tight deadlines with ambiguous requirements, prioritization, influencing without authority, process improvement, and your most impactful accomplishment — each with a quantified model answer.

  17. Interview questions · CloudKitchens

    Answer static and streaming Top-K queries

    This question evaluates understanding of frequency counting, top-K selection, streaming and sliding-window algorithms and data-structure design in the Coding & Algorithms domain, testing both conceptual algorithmic reasoning and practical implementation skills.

  18. Interview questions · xAI

    Answer technical-challenge and motivation questions

    This question evaluates technical problem-solving depth, communication of impact, leadership and ownership, and intrinsic motivation and cultural fit by probing a candidate's most challenging engineering work and reasons for joining the team.

  19. Interview questions · Bnp

    Answer trader-style behavioral and motivation questions

    Assesses behavioral and motivational fit—including communication, leadership, teamwork, conflict resolution, and market awareness—for a Data Scientist interviewing for a trader/quant role.

  20. Interview questions · Atlassian

    Answer values interview behavioral questions

    This question evaluates leadership and behavioral competencies such as alignment with organizational values, ownership, communication and conflict resolution, mentorship and coaching, handling ambiguity, and learning from mistakes.

  21. Interview questions · Optiver

    Answer why SWE and why Optiver

    This prompt evaluates behavioral and leadership competencies within the software engineering domain for low-latency or real-time systems, focusing on motivation, role fit, communication, self-awareness, and interest in trading/financial markets.

  22. Interview questions

    Apply Bayes theorem with conjugate priors

    This question evaluates a candidate's ability to apply Bayesian inference with a conjugate Beta prior to a binomial likelihood, derive the posterior distribution, compute posterior summaries (mean, credible interval, tail probabilities), and contrast Bayesian credible intervals with frequentist Wald and Clopper–Pearson intervals.

  23. Interview questions · Squarepoint

    Apply Insert, Update, and Remove Operations to a Keyed Store

    Apply insert, update, and remove commands to a keyed store with explicit duplicate and missing-key policies and deterministic final records.

  24. Interview questions · EY

    Architect cloud data ingestion patterns

    This question evaluates a candidate's ability to design end-to-end cloud data ingestion and serving architectures, including streaming and batch patterns, CDC/event sourcing/micro-batch trade-offs, partitioning and compaction strategies, idempotency, schema evolution, PII tokenization, cost controls, and incident simulation for chaos testing.