Microsoft Interview Questions

Practice 198 real Microsoft interview questions for 2026. Covers all top categories — Coding & Algorithms, Behavioral & Leadership, System Design, Machine Learning, ML System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Product Manager, Technical Program Manager roles. Real questions from actual interviews with detailed solutions. Microsoft interview questions on this page focus heavily on coding and design: expect algorithmic problems, implementation correctness and complexity tradeoffs, and end-to-end system thinking during on-site loops. Interview preparation should combine timed coding drills, low-level and distributed design sketches, and polished STAR narratives that show impact and collaboration. For Software Engineers you’ll see recurring themes like versioned key-value stores, secure Copilot APIs, RAG ranking and retrieval pipelines, CSV/query engines, calendar and meeting-optimizer systems, URL shorteners, and memory/Java/Python management. Data Scientist questions concentrate on SQL aggregation/top-earner queries, classifier design and evaluation, estimating impact without A/B tests, SHAP and precision–recall analysis. Machine Learning Engineers face top-K/top-elements, LLM data quality checks, model selection, caching/merge interval problems, and RAG systems with agentic tools. Product roles emphasize customer obsession, cross-team influence, enterprise process tooling, metrics, and ML pipeline stability.