Amazon Coding & Algorithms Interview Questions
Practice 689 real Amazon interview questions for 2026. Covers all top categories — Coding & Algorithms, Behavioral & Leadership, Machine Learning, Data Manipulation (SQL/Python), and System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Product Manager, and Business Intelligence Engineer roles. Real Amazon interview questions from actual interviews with detailed solutions; use this collection for interview preparation that emphasizes shipping at scale, measurable impact, and the company’s Leadership Principles. Expect coding-heavy assessments for Software Engineer candidates: frequent tree and dynamic-programming problems, two-array optimization patterns, nested object/path lookups, and system-design prompts that mirror product flows (online Minesweeper, pizza-ordering, credit-card and shipping/cost systems), plus leadership and collaboration behavioral prompts. Data Scientist rounds concentrate on experimentation and metrics (A/B design, hand p-values, D7 retention SQL), RAG/recommender evaluation, and product-impact analyses. ML Engineer questions focus on production model design, LLM/agent concepts, reliability (cold start, training stability, online vs offline gaps), and large-scale detection pipelines. PM interviews stress customer-obsessed stories, ambiguity, Alexa product launches, and domain-specific data pipelines. Prepare with timed coding practice, end-to-end experiment writeups, STAR stories framed to Leadership Principles, and mock system-design sessions.
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Solve Three Algorithm Variants
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The Most Comprehensive Amazon PM Questions
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Describe complex projects, failures, and pivots
In a software engineering internship interview, you may be asked a set of behavioral questions about project complexity, decision-making, failure, and...
Implement robust word counts and min/max
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Explain Transformers and MoE in LLMs
You are interviewing for a role working with large language models (LLMs). Explain the following concepts and how they relate to building and scaling ...
Describe how you reduced measurable cost
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Answer common internship behavioral questions
You have ~25–30 minutes for behavioral questions (with possible follow-ups). Prepare strong, concrete answers (internship-level scope is fine) for: 1....
Answer common Amazon behavioral questions
You are interviewing for a software engineering internship. Prepare strong answers (using the STAR framework) for the following behavioral questions: ...
Design a file search module like UNIX find
Design Task: Object-Oriented module that mimics UNIX find Context Design an object-oriented library that replicates the core functionality of the UNIX...
Answer Amazon-style leadership deep dives
Behavioral / Leadership Prompt (Principal level) Prepare to answer deep-dive leadership questions with heavy follow-ups. Scenarios to cover - A failed...
Answer behavioral questions about delivery and influence
Behavioral questions Prepare structured answers (e.g., STAR) to the following: 1. Complex problem, simple solution: Give an example of a complex probl...
Explain owning and debugging infra modules
Describe a time you were responsible for a storage/distributed-systems/infra component (or a similarly low-level, reliability-critical module). The in...
Design a replicated cloud storage service
This question evaluates a candidate's system-design competency in distributed cloud storage, covering metadata/data separation, replication models, re...
Prepare For An Applied Science Manager Project And Leadership Screen
Prepare for a phone screen for an applied science manager role. The interview includes a project deep dive on search ranking and a leadership section ...