Microsoft interview questions

Showing 1–30 of 252 results

• Adapt When Project Requirements Change MidwayMedium

  Explain a mid-project requirement change through concrete first steps, personal ownership, alternatives, scope trade-offs, and revised acceptance criteria.

  MicrosoftSoftware EngineerBehavioral & LeadershipOnsite
• Answer Running Median Queries Over a Stream of Inserted IntegersMedium

  A coding problem that processes a stream of add and median operations and returns, for every query, the median of all integers inserted so far. It tests choosing data structures that keep the middle of a growing collection quickly accessible, plus correct averaging when the count is even.

  MicrosoftSoftware EngineerCoding & AlgorithmsOnsite
• Answer common graph, grid, and array tasksMedium

  This problem tests your ability to model a dependency system as a directed graph and identify if a valid order exists using cycle detection (Kahn's Algorithm or DFS).

  MicrosoftSoftware EngineerCoding & AlgorithmsTechnical Screen
• Answer suffix maximum-frequency queriesHard

  This problem tests your ability to optimize range frequency queries using precomputation and efficient data structures, specifically focusing on suffix-based constraints.

  MicrosoftSoftware EngineerCoding & AlgorithmsOnsite
• Assemble DNA payload strings from tagged fragmentsMedium

  This question evaluates proficiency in string manipulation, sequence assembly, and labeled-graph path reconstruction—skills involved in ordering fragments by matching start/end tags and concatenating payloads—and it belongs to the Coding & Algorithms domain.

  MicrosoftSoftware EngineerCoding & AlgorithmsTechnical Screen
• Assemble async stream reads into objectsHard

  This problem tests your ability to handle partial reads from an asynchronous stream and correctly parse length-prefixed binary data structures.

  MicrosoftSoftware EngineerCoding & AlgorithmsOnsite
• Azure Startup Strategy: First Product Bets to Win Early-Stage CompaniesMedium

  A product strategy question for a Microsoft product manager interview about winning more startups for Azure. It tests how a candidate defines success beyond sign-ups, picks a startup segment, diagnoses where Azure loses founders, and prioritizes offerings that use Microsoft's distinctive assets, with metrics and guardrails.

  MicrosoftProduct ManagerProduct Design & StrategyOther
• Behavioral & Leadership Fit at MicrosoftMedium

  Practice Microsoft Product Manager behavioral and leadership fit questions covering self-introduction, proud project, motivation, PM responsibility, career plan, engineering partnership, communication, product process, deadline risk, failure, stress, teamwork, and change management.

  MicrosoftProduct ManagerBehavioral & LeadershipOnsite
• Behavioral Focus: Collaboration, Customer Obsession & InfluenceMedium

  Practice Microsoft Product Manager behavioral interviews covering collaboration, customer obsession, measuring impact, and influence without authority. The solution uses STAR-L examples, metric trees, experimentation methods, stakeholder mapping, trade-offs, and common pitfalls.

  MicrosoftProduct ManagerBehavioral & LeadershipOnsite
• Behavioral: Delivering Under a Tight Deadline and Handling a Difficult SituationMedium

  A senior behavioral question in two parts: describe delivering an important project against a tight deadline, then a difficult work situation and how you handled it. It tests prioritization, scope negotiation, stakeholder communication, ownership of decisions, and composure under pressure.

  MicrosoftSoftware EngineerBehavioral & LeadershipOnsite
• Behavioral: Long Blockers, Missed Deadlines or User Complaints, and Career DirectionMedium

  Behavioral and career questions from a software engineering onsite: a time you were blocked for a long time, a project that missed its deadline or drew many user complaints, and your current focus, reasons for moving and future technical direction. It tests ownership, communication and a coherent career story.

  MicrosoftSoftware EngineerBehavioral & LeadershipOnsite
• Behavioral: a problem that stumped you, your peers and AI tools, and how you solved itMedium

  Behavioral question on hard problem solving: describe a problem that stumped you, your peers and the AI tools you tried, and how you got past it. It tests systematic debugging under uncertainty, judgment about where tools and colleagues fall short, resourcefulness, and turning the fix into lasting team knowledge.

  MicrosoftSite Reliability EngineerBehavioral & LeadershipOnsite
• Bucket Words That Are Letter Rearrangements of One AnotherMedium

  A coding exercise that partitions a list of lowercase words into groups whose members use exactly the same letters with the same counts, returned in a fixed canonical order. It tests efficient grouping over up to ten thousand words, handling duplicates and empty strings, and producing deterministic sorted output.

  MicrosoftSoftware EngineerCoding & AlgorithmsOnsite
• Build a CSV Query EngineMedium

  This problem tests your ability to parse structured text, perform basic type inference, and implement a filtering mechanism for tabular data.

  MicrosoftSoftware EngineerCoding & AlgorithmsTechnical Screen
• Build and Defend a Baseline Model from a CSVMedium

  Tests end-to-end applied machine learning design on tabular data: framing the prediction target, eliminating data leakage, establishing a leakage-free validation strategy, selecting baselines and evaluation metrics, and planning deployment monitoring and rollback.

  MicrosoftData ScientistMachine LearningOnsite
• Calibrate LLM output to match Word formattingMedium

  This question tests the ability to design an end-to-end system for enforcing strict structured formatting (e.g., Docx/Markdown) on LLM-generated text, focusing on constraint enforcement and reliability.

  MicrosoftMachine Learning EngineerML System DesignOnsite
• Check a Linked List Palindrome Without Mutating ItMedium

  Check whether a singly linked list is a palindrome in O(n) time and O(1) pointer space without leaving it modified. Practice finding the midpoint, reversing the second half, comparing values, and restoring every link before return.

  MicrosoftSoftware EngineerCoding & AlgorithmsOnsite
• Check palindrome and find next larger palindromeMedium

  This question tests string manipulation, edge-case handling, and algorithmic efficiency in generating the smallest palindrome greater than a given numeric string.

  MicrosoftSoftware EngineerCoding & AlgorithmsTechnical Screen
• Check palindrome number and next palindromeMedium

  This question tests your ability to manipulate digits of an integer to identify palindromes and efficiently construct the smallest palindrome greater than a given number.

  MicrosoftSoftware EngineerCoding & AlgorithmsOnsite
• Choose Classification Metrics Under Asymmetric CostsMedium

  This question evaluates understanding of binary classification evaluation metrics and model-operating decisions, covering confusion-matrix-derived measures (precision, recall/sensitivity, specificity, false positive/negative rates), summary metrics (ROC-AUC, PR-AUC), Type I/II errors, threshold selection, prevalence drift, probability calibration, and cost-sensitive trade-offs. It is commonly asked to assess a data scientist's ability to reason about model performance under class imbalance and asymmetric business costs, and it belongs to the Statistics & Math / Machine Learning model-evaluation domain requiring both conceptual understanding and practical application.

  MicrosoftData ScientistStatistics & MathTechnical Screen
• Choose lock granularity for concurrent storageHard

  This problem tests your understanding of concurrency control by asking you to design a locking strategy for a multi-threaded key-value store, focusing on the trade-offs between throughput and latency.

  MicrosoftSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Clean OCR data and build an LLM datasetMedium

  This problem tests the ability to design an automated pipeline for cleaning noisy OCR text output and preparing it for supervised fine-tuning of an LLM.

  MicrosoftMachine Learning EngineerMachine LearningOnsite
• Collaborating With Teammates Across Regions and Working From HomeEasy

  A behavioral question about collaborating with teammates spread across regions and time zones and with teammates who work from home, followed by a request for a story that shows how you collaborate. It tests asynchronous communication, inclusive hybrid practices, and a concrete personal contribution.

  MicrosoftSoftware EngineerBehavioral & LeadershipOnsite
• Compare CNN/RNN/LSTM and implement K-meansHard

  This question evaluates understanding of deep learning architectures (CNN, RNN, LSTM) and unsupervised clustering implementation (K-means), covering inductive biases, parameter sharing and receptive fields, LSTM gating and vanishing-gradient behavior, tensor shape reasoning, algorithmic complexity, initialization, and cluster handling.

  MicrosoftData ScientistMachine LearningOnsite
• Compare preference alignment methods for LLMsMedium

  This question tests your conceptual understanding of alignment techniques, your ability to evaluate trade-offs between stability and performance, and your approach to measuring model safety and utility.

  MicrosoftMachine Learning EngineerMachine LearningOnsite
• Compute P(Bag B | red) via BayesEasy

  This question evaluates understanding of Bayes' rule and conditional probability by requiring computation of the posterior probability that a particular bag was chosen given a red draw.

  MicrosoftData ScientistStatistics & MathTechnical Screen
• Compute and plot a precision–recall curveEasy

  This question evaluates understanding of binary classification evaluation metrics—precision, recall, precision–recall curves, and related summaries like Average Precision/AUPRC—within the Machine Learning domain and is relevant for Data Scientist roles.

  MicrosoftData ScientistMachine LearningTechnical Screen
• Compute discounted prices and full-price indicesHard

  This question evaluates array-processing skills, competency with next-smaller-or-equal element patterns, and the ability to compute aggregated results under ordering constraints.

  MicrosoftSoftware EngineerCoding & AlgorithmsTechnical Screen
• Compute most popular location with weightsMedium

  This question evaluates a candidate's ability to perform weighted aggregation, data cleaning, tie-breaking logic, and handling of malformed or missing text fields using SQL and/or Python.

  MicrosoftSoftware EngineerData Manipulation (SQL/Python)Technical Screen
• Compute precision/recall from a flaky top-k APIMedium

  This question evaluates understanding of binary classification evaluation metrics (precision and recall) and competency in handling unreliable API behavior for robust metric computation, testing both conceptual understanding and practical application.

  MicrosoftMachine Learning EngineerSoftware Engineering FundamentalsTechnical Screen