Microsoft Interview Questions
Practice 213 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.

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"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

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"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Explain OOP design and API rollout
In one interview round, the discussion focused on practical backend engineering rather than pure algorithms. Discuss both of the following: 1. You are...
Design a typeahead search service
Design a search autocomplete system for a large application. As a user types a prefix, the system should return relevant suggestions with low latency....
Handle Cross-Team Dependencies and Scope Conflicts
Answer the following behavioral interview questions using a concrete example from your experience: 1. You depend on another team to complete work, but...
Return Top K Open Businesses
This question evaluates a candidate's ability to perform filtering and multi-criteria ranking, requiring correct handling of an open-status filter and...
Explain SHAP in an ML System
Describe how you would build an end-to-end machine learning system for a business use case such as churn prediction, ad conversion prediction, or cont...
Solve binary-tree reverse printing and LPS
You are given a binary tree node definition: - TreeNode { int val; TreeNode left; TreeNode right; } Answer the following two algorithmic questions. 1)...
How do you choose a model?
This question evaluates skills in model selection, task and business-objective definition, data-property analysis, production constraint reasoning, ba...
Explain bias-variance and evaluate a classifier
You are interviewing for an Applied Scientist internship. Answer the following ML foundations questions. 1) Bias–variance - Define bias and variance i...
Explain deadlock cases and how to prevent them
You are asked in an interview to discuss deadlocks in concurrent programming. 1) What is a deadlock? 2) What conditions must hold for a deadlock to be...
Compute precision/recall from a flaky top-k API
You have 10 image files. Each file has a ground-truth label indicating whether it contains a dog. You can call an API like searchDogs(k) which is inte...
Design a Product Search System
Design a product search system for a large e-commerce marketplace. Users enter free-text queries such as wireless headphones, apply filters such as pr...
Identify the Extra Directed Edge
You are given a list of directed edges edges, where each edge is represented as [parent, child]. The graph contains nodes labeled from 1 to n, and it ...
Explain metrics, regularization, and ablation studies
You are interviewing for an Applied Scientist role. 1) For a binary classification problem, explain the following and when you would use each: - Preci...
Design a high-level logging system
Design a high-level centralized logging system for a company. Assume many services (microservices, batch jobs) running across multiple hosts/container...
Implement SFT Sample Packing
This question evaluates proficiency in preprocessing for autoregressive language models, including deterministic sequence packing, construction of los...
Describe motivation, ownership, and conflict
Expect behavioral and culture-fit questions such as: - Why do you want this role or company? - Tell me about a time you showed ownership without being...
Design read-heavy org chart subordinate counts
You are given manager→direct-report relationships for an organization (an employee has at most one direct manager; the top-level employee has none). B...
Minimum Moves on a Grid with k-Cell Jumps
You are given an m x n grid. Each cell is either open or blocked: - grid[i][j] = 0 means the cell is open. - grid[i][j] = 1 means the cell is blocked....
Explain KNN and how to tune it
K-Nearest Neighbors (KNN) fundamentals You are interviewing for a Data Scientist role. 1. Explain how the KNN algorithm works for both classification ...
Implement concurrent structures and debug queue code
The coding rounds covered several implementation and debugging tasks: 1. Implement an LRU cache that supports get(key) and put(key, value) in constant...