practice a little every day, paws crossed ♡
Interview Questions
Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.
- 9403
- Questions
- 546
- Companies
- 11
- Topics
- 8
- Languages
Showing 3451–3480 of 9403 results
- GoogleMediumSoftware EngineerBehavioral Deep Dive: Task Overload, Mid-Project Pivot, Team Innovation, Onboarding
A behavioral round built on variants of common questions with deep follow-ups: handling more tasks than expected and why the conflict arose, changing direction mid-project and measuring the result, making a harmonious team more innovative, and helping a teammate integrate beyond technical onboarding.
Behavioral & LeadershipTechnical Screen - GoogleMediumSoftware EngineerBehavioral: Conflict, Mistake, Inheriting a Departed Teammate's Project, Initiative
Practice a 45-minute behavioral interview built from four story prompts: a conflict with a coworker, a mistake you made and fixed, taking over a departed teammate's project when there is no handoff, and fixing a problem on your own initiative. It tests ownership, communication and whether your examples hold up under follow-up probing.
Behavioral & LeadershipTechnical Screen - GoogleMediumSoftware EngineerBehavioral: Describe a Problem You Solved Through Deep, Structured Analysis
Behavioral interview question from a senior software engineer loop at Google asking about a problem that required in-depth thought and analysis to solve. It assesses how a candidate handles ambiguity, forms and tests hypotheses, weighs options, verifies the outcome and explains complex reasoning.
Behavioral & LeadershipOther - GoogleMediumSoftware EngineerBoolean Expression Tree with Leaf Flips
This problem tests recursive tree evaluation logic and the ability to optimize updates by propagating changes only to necessary ancestors.
Coding & AlgorithmsOnsiteTreesRecursionBoolean Logic - GoogleHardData ScientistBoost Google Workspace Chat Usage with Strategic A/B Testing
Boost Google Workspace Chat Usage with Strategic A/B Testing evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Analytics & ExperimentationTechnical Screen - GoogleMediumData ScientistBuild Classifier: Evaluate with AUROC for Imbalanced Data
Evaluates classifier design for detecting dead links in imbalanced URL data with leakage-safe validation. Strong answers cover leakage-safe features, grouped validation, AUROC versus accuracy, PR metrics, thresholding, deployment, and monitoring.
Machine LearningTechnical Screen - GoogleMediumData ScientistBuild Model to Predict Customer Contract Renewal
Evaluates renewal prediction modeling for enterprise Google Meet contracts. Strong answers define leakage-safe timelines, engineer usage, reliability, support, contract, and customer-health features, compare logistic regression with complex models, and evaluate calibration, lift, and business intervention value.
Machine LearningTechnical Screen - GoogleMediumSoftware EngineerBuild Prefix Lookup with a Trie
Tests implementation of a Trie (prefix tree) data structure to support word insertion, exact word search, prefix existence checks, and lexicographical autocomplete suggestions with a capacity limit.
Coding & AlgorithmsTechnical Screentriestringsdfs - GoogleMediumSoftware EngineerBuild a ChatOps Command Dispatcher That Matches Named Arguments
Implement a command dispatcher for a chat ops bot that resolves slash-separated commands with named arguments to a registered handler. Tests trie-based matching, precedence between literal and parameter segments, and handling of ambiguous or dead-end routes.
Software Engineering FundamentalsTechnical Screentriedata-structuresapi-design - GoogleMediumSoftware EngineerBuild a Custom CompletableFuture: Async Primitive and Parallel Array Processing
Implement a thread-safe asynchronous promise/future primitive with chaining and an aggregate fan-in barrier (`all_of`) for parallel processing.
Software Engineering FundamentalsTechnical Screenconcurrencymultithreadingdesign-pattern - GoogleEasySoftware EngineerBuild a next-word frequency predictor
This problem tests your ability to process sequential text data, efficiently store word adjacency frequencies, and retrieve the most likely successor.
Coding & AlgorithmsOnsiteHash MapData StructuresString Processing - GoogleMediumData ScientistBuild and evaluate bad-link classifier
This question evaluates proficiency in applied machine learning classification, including feature design, training a logistic regression, handling severe class imbalance, selecting evaluation metrics and calibration, choosing thresholds under asymmetric costs, and planning offline-to-online validation and monitoring.
Machine LearningTechnical Screen - GoogleHardData ScientistBuild and evaluate illegal-video classifier
This question tests the ability to architect an end-to-end classification pipeline for high-stakes, multimodal content moderation while accounting for class imbalance, adversarial evasion, and operational safety.
Machine LearningTechnical ScreenMultimodal MLAdversarial MLSystem Design - GoogleEasyData ScientistBuild next-word predictor with O(1) lookup
This problem tests your ability to design a memory-efficient data structure for storing n-gram probabilities and performing fast lookups for the most likely next word.
Coding & AlgorithmsOnline AssessmentHash MapData StructuresNLP - GoogleMediumProduct ManagerBuild vs. Buy Decision Framework
Practice a structured build-versus-buy product decision framework. The solution compares build, buy, and hybrid options across strategic differentiation, total cost of ownership, time to market, reliability, maintenance, vendor lock-in, data portability, pilots, stakeholder review, and risk mitigation.
Product / Decision MakingTechnical Screen - GoogleEasySoftware EngineerBusiest Rental Car
This problem tests your ability to manage state and apply custom sorting logic to simulate resource allocation across time intervals.
Coding & AlgorithmsOnsiteHash MapSimulationGreedy - GoogleMediumSoftware EngineerCalculate Highway Tolls from Ordered Checkpoint Logs
Tests tracking vehicle state across interleaved chronological event streams and computing distance-based segment tolls regardless of travel direction or checkpoint repetition.
Coding & AlgorithmsOnsitehash-tablearrayssimulation - GoogleMediumData ScientistCalculate Top Countries' Gmail Usage and MoM Change
This question evaluates proficiency in SQL data aggregation, time-based grouping, and analytical window functions for computing month-over-month percentage changes in event volumes.
Data Manipulation (SQL/Python)Onsite - GoogleMediumData ScientistCalculate User Deviation from Team Average Messages
This question evaluates proficiency with pandas group-wise computations, broadcasting of group aggregates, and DataFrame manipulation without renaming columns.
Data Manipulation (SQL/Python)Technical Screen - GoogleMediumSoftware EngineerCan board states be transformed?
This problem tests your ability to determine if one board state can be transformed into another using reversible movement rules, requiring the identification of invariants to avoid exhaustive searching.
Coding & AlgorithmsTechnical ScreenStringsInvariantsTwo Pointers - GoogleMediumData ScientistCan bootstrap help reduce variance
This question evaluates understanding of bootstrap resampling, the distinction between estimating an estimator’s variance and methods that actually reduce estimator variance, and related ensemble reasoning for a Data Scientist role in the Statistics & Math domain.
Statistics & MathOnsite - GoogleMediumSoftware EngineerCheck Whether Digits Are Monotone Increasing
Determine if a non-negative integer has digits that are monotonically non-decreasing from left to right, handling edge cases without unnecessary memory allocation.
Coding & AlgorithmsTechnical Screenmathstringsfundamentals - GoogleEasySoftware EngineerCheck an Interval Against Existing Intervals for Conflicts
Determine whether a proposed half-open interval overlaps with any interval in an unsorted list. This tests basic interval overlap logic and boundary condition handling.
Coding & AlgorithmsTechnical ScreenIntervalsArraysGeometry - GoogleMediumSoftware EngineerCheck if all substrings are anagrams of words
This question evaluates string-processing skills and combinatorial reasoning about character multisets, specifically anagram recognition, substring enumeration, and the use of efficient representations for repeated checks.
Coding & AlgorithmsTechnical Screen - GoogleMediumSoftware EngineerCheck if all substrings are dictionary words
This question evaluates string-processing skills such as substring enumeration and membership testing against a dictionary, along with algorithmic reasoning about correctness and complexity.
Coding & AlgorithmsTechnical Screen - GoogleMediumSoftware EngineerChoose Fast or Cheap Models
This question evaluates a candidate's competency in ML system design, focusing on balancing cost-versus-latency trade-offs for inference routing, operational metrics, workload segmentation, and reliability.
ML System DesignTechnical Screen - GoogleMediumSoftware EngineerChoose Non-Overlapping Weighted Jobs to Maximize Total Profit
Choose a set of jobs, each with a start time, end time and profit, so that no two chosen jobs overlap and the total profit is as large as possible. It tests sorting intervals, defining an optimal-substructure recurrence, and finding the latest compatible earlier job efficiently for large inputs.
Coding & AlgorithmsOnsite - GoogleMediumSoftware EngineerChoose One Blocker Removal for the Fastest Grid Signals
Determine at most one obstacle to remove in a grid to minimize the maximum time for signals to reach all target cells from multiple sources.
Coding & AlgorithmsOnsiteBFSGraphMatrix - GoogleMediumSoftware EngineerChoose Your Workplace Style
This item evaluates workplace-style competencies such as self-awareness, prioritization, consistency, communication, adaptability, and time-management in a software engineering context.
Behavioral & LeadershipOnline Assessment - GoogleHardData AnalystChoose a North Star Metric for a Malicious-Webpage Classifier
Choose and measure a malicious-webpage classifier metric using exposure-weighted recall, false-warning guardrails, and unbiased label audits.
Analytics & ExperimentationOnsite
Google