Microsoft Interview Questions

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.

213 Questions 1 Company08.03.2026
Showing 20 results
Role
Microsoft logo
Microsoft
Hard
Software EngineerSenior+

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...

Software Engineering Fundamentals
8
0
112 people solved
Apr 7, 2026
Microsoft logo
Microsoft
Hard
Software EngineerSenior+

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....

System Design
26
0
183 people solved
Apr 7, 2026
Microsoft logo
Microsoft
Medium
Machine Learning Engineer

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...

Behavioral & Leadership
3
0
46 people solved
Apr 18, 2026
Microsoft logo
Microsoft
Hard
Software Engineer Locked

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...

Coding & Algorithms
8
0
96 people solved
May 10, 2026
Microsoft logo
Microsoft
Medium
Data Scientist

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...

Machine Learning
10
0
91 people solved
Feb 25, 2026
Microsoft logo
Microsoft
Easy
Software Engineer

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)...

Coding & Algorithms
11
0
123 people solved
Dec 24, 2025
Microsoft logo
Microsoft
Medium
Machine Learning Engineer Locked

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...

Machine Learning
10
0
95 people solved
Mar 10, 2026
Microsoft logo
Microsoft
Easy
Machine Learning EngineerIntern

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...

Machine Learning
14
0
141 people solved
Dec 27, 2025
Microsoft logo
Microsoft
Medium
Software Engineer

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...

Software Engineering Fundamentals
5
0
76 people solved
Feb 9, 2026
Microsoft logo
Microsoft
Medium
Machine Learning EngineerIntern

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...

Software Engineering Fundamentals
7
0
78 people solved
Feb 9, 2026
Microsoft logo
Microsoft
Medium
Machine Learning Engineer

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...

ML System Design
10
0
84 people solved
Apr 18, 2026
Microsoft logo
Microsoft
Medium
Software Engineer

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 ...

Coding & Algorithms
4
0
55 people solved
Jan 3, 2026
Microsoft logo
Microsoft
Medium
Machine Learning EngineerIntern

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...

Machine Learning
10
0
113 people solved
Feb 9, 2026
Microsoft logo
Microsoft
Medium
Software Engineer

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...

System Design
6
0
116 people solved
Feb 9, 2026
Microsoft logo
Microsoft
Medium
Machine Learning Engineer Locked

Implement SFT Sample Packing

This question evaluates proficiency in preprocessing for autoregressive language models, including deterministic sequence packing, construction of los...

Coding & Algorithms
4
0
48 people solved
Apr 13, 2026
Microsoft logo
Microsoft
Medium
Machine Learning Engineer

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...

Behavioral & Leadership
4
0
63 people solved
Feb 23, 2026
Microsoft logo
Microsoft
Medium
Software Engineer

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...

System Design
9
0
88 people solved
Feb 7, 2026
Microsoft logo
Microsoft
Medium
Software EngineerSenior+

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....

Coding & Algorithms
0
0
10 people solved
Jun 11, 2026
Microsoft logo
Microsoft
Easy
Data Scientist

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 ...

Machine Learning
40
0
378 people solved
Jan 17, 2026
Microsoft logo
Microsoft
Hard
Software EngineerSenior+

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...

Coding & Algorithms
5
0
41 people solved
Apr 7, 2026

Frequently Asked Questions

How hard are Microsoft interview questions for the roles covered on this page?
Microsoft interview questions are rigorous and vary by role and level: expect strong emphasis on coding and algorithmic problem solving for Software Engineer roles, systems and scalability thinking for senior engineers, and a mix of coding, statistics and experimental design for Data Scientist and Machine Learning Engineer roles. Product and program roles focus more on product judgment, execution and cross‑team influence. Difficulty scales with seniority and team scope, and many interviews test production readiness, tradeoff reasoning and measurable impact rather than only theoretical knowledge.
What does the typical Microsoft interview process look like and where do these question types appear?
The common flow starts with a recruiter screen, a technical phone/video screen, then a virtual or onsite loop of four to five interviews and sometimes a final 'As Appropriate' leadership review. Coding & Algorithms rounds predominately assess Software Engineers, System Design appears more for mid/senior levels, Machine Learning and ML System Design rounds target MLEs and Data Scientists, and Behavioral & Leadership evaluations run in every loop. Interview timelines typically span several weeks; the exact mix depends on role, level and the specific team’s product priorities.
How long should I prepare before interviewing at Microsoft and how should I structure that time?
Plan preparation by role: engineers often need six to twelve weeks of focused work, while Data Scientists and MLEs can be ready in four to eight weeks if they balance coding, statistics and model evaluation practice. Product and TPM candidates usually need two to six weeks to assemble clear case studies and practice stakeholder narratives. Start with fundamentals and timed problem practice, add system design and production-readiness review mid-plan, then run full mock loops in the final weeks. Include deliberate practice on explaining tradeoffs, telemetry and impact throughout your preparation.
What are the key technical themes to prioritize for Microsoft interviews by position?
Software Engineers: recurring themes include distributed storage and versioned key-value design, graph algorithms and 'tour' style problems, parser/tokenizer and CSV/query-engine implementation, memory/efficiency considerations and practical services like URL shorteners and calendaring. Data Scientists: focus on metric selection under asymmetric costs, SHAP/feature‑attribution, precision–recall analysis, experiment alternatives to A/B and SQL-style data extraction and aggregation. Machine Learning Engineers: expect LLM/RAG system design, quality checks for labeled/LLM data, precision/recall computation from flaky APIs, caching/merge-interval patterns and rigorous ablation and regularization analysis. Product roles: enterprise process flows, ML pipeline stability and clear north-star metrics.
What standout tips and common pitfalls should I know when preparing for Microsoft interviews?
Standout tips: write production-quality code with clear edge-case handling and complexity justification, explain monitoring, rollout and rollback plans for designs, quantify business impact and use telemetry when describing ML work, and practice crisp STAR stories that show ownership and collaboration. Common pitfalls: solving only the toy version of a problem, ignoring performance or reliability tradeoffs, failing to ask clarifying questions, giving vague evaluation metrics or disregarding data bias and safety in ML discussions, and not tying technical choices back to customer or business outcomes.

Explore more Microsoft interview questions

Jump straight to Microsoft questions for a specific role or category.

By role
By category
In-depth guides
Across all companies