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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 1801–1830 of 4616 results
- GoogleMediumSoftware EngineerHow do you handle credit, leadership, and feedback?
This question evaluates collaboration, ownership, conflict management, influence without authority, leadership/mentorship, and feedback skills within the Behavioral & Leadership domain for software engineering roles, emphasizing practical application through concrete examples rather than purely conceptual understanding.
Behavioral & LeadershipTechnical Screen - GoogleHardSoftware EngineerHow do you handle workplace conflict scenarios?
This question evaluates interpersonal and leadership competencies, including communication, conflict resolution, de-escalation, stakeholder alignment, and maintaining team collaboration.
Behavioral & LeadershipTechnical Screen - GoogleMediumSoftware EngineerHow to host many domains on one IP?
Evaluates knowledge of DNS, HTTP/HTTPS request routing, TLS certificate management, and operational/security trade-offs when hosting multiple domains on a single public IP. Commonly asked to probe architectural reasoning and practical deployment trade-offs in the System Design domain at an architectural/operational level of abstraction.
System DesignTechnical Screen - GoogleEasySoftware EngineerHow would you lead a team through delivery issues?
This question evaluates leadership and team-management competencies—including delegation, prioritization, conflict resolution, and feedback communication—within a software engineering context and the Behavioral & Leadership interview category.
Behavioral & LeadershipTechnical Screen - GoogleMediumData ScientistIdentify and Fix Predictive Model Performance Gaps
Evaluates predictive-model audit skills across month encoding, feature scaling, and imbalanced classification. Strong answers fix cyclical seasonality, standardize where needed, and adjust losses or thresholds for recall.
Machine LearningTechnical Screen - GoogleEasySoftware EngineerImplement Batched Undo/Redo Layer
This question evaluates understanding of state management, undo/redo semantics, batched transactional edits, and memory-efficient change history representation for map-based document layers.
Coding & AlgorithmsTechnical Screen - GoogleHardSoftware EngineerImplement Longest-Match Text Replacement
This question evaluates string processing, pattern matching, greedy algorithm reasoning, and data structure design for efficient longest-prefix token replacement, and is categorized under Coding & Algorithms.
Coding & AlgorithmsTechnical Screen - GoogleMediumData ScientistImplement Sampling and Minimize Loss in Numerical Coding
This question evaluates proficiency in probability and numerical methods, focusing on sampling from truncated distributions and analytical properties of estimators under various loss functions.
Coding & AlgorithmsTechnical Screen - GoogleMediumSoftware EngineerImplement Trie Insert and Exact-Word Search
Implement trie insertion and exact-word search for up to a million total characters, distinguishing terminal words from mere prefixes and returning search results in operation order.
Coding & AlgorithmsTechnical Screen - GoogleHardSoftware EngineerImplement a Lazy Tee Iterator in Python
This problem tests your understanding of iterator protocols, generator patterns, and memory-efficient data buffering for multi-consumer streams.
Software Engineering FundamentalsTechnical ScreenPythonIteratorsGenerators - GoogleMediumSoftware EngineerImplement a Reusable Locker Allocation System
Design and implement a locker bank management system that assigns the lowest available locker index, handles invalid store and pickup operations, releases lockers immediately, and tracks the last package successfully stored in each locker.
Coding & AlgorithmsTechnical Screenheaphash-tabledesign - GoogleMediumMachine Learning EngineerImplement a Transformer Block with SwiGLU
This question evaluates implementation and reasoning skills for Transformer internals, testing competency in multi-head self-attention, SwiGLU gated feed-forward layers, residual connections, and layer normalization within the Machine Learning / deep learning domain.
Coding & AlgorithmsTechnical Screen - GoogleMediumSoftware EngineerImplement an HTTP Router That Resolves Handlers for Paths with Named Parameters
Implement an HTTP router that registers handlers for path patterns, some with named parameters and some without, and looks up the handler and parameter values for a request path. It tests data structure choice, precedence between fixed and parameterized segments, conflict handling and lookup complexity.
Software Engineering FundamentalsTechnical Screen - GoogleMediumData ScientistImplement anagram check and stable deduplication
This question evaluates streaming algorithm design, Unicode normalization and locale-aware text processing, multiset frequency counting under tight time and memory bounds for an anagram checker, and stable, order-preserving deduplication with custom keys and NaN handling; it is in the Coding & Algorithms domain for a Data Scientist position.
Coding & AlgorithmsTechnical Screen - GoogleMediumSoftware EngineerImplement frequency + distance top‑K queries
This pair of problems evaluates algorithmic and data-structure skills including frequency counting, multi-criteria ordering and selection for top-K results, geometric distance computation for tie-breaking, and time-indexed storage with nearest-timestamp retrieval.
Coding & AlgorithmsTechnical Screen - GoogleMediumSoftware EngineerImplement iterator merging lists with filtering
This problem tests your ability to design a stateful iterator that performs a multi-way merge on sorted streams while applying filtering and deduplication logic on the fly.
Coding & AlgorithmsTechnical ScreenIteratorsHeapMerge K Sorted - GoogleMediumData ScientistImplement percentage RMSE and bootstrap its CI
This question evaluates implementation and statistical reasoning skills, focusing on robust numerical computation of percentage RMSE (including handling zeros/negatives, optional country weights, and numerical stability) and nonparametric bootstrap methods for confidence intervals.
Coding & AlgorithmsTechnical Screen - GoogleMediumData ScientistImplement piecewise linear interpolation for time-to-empty
This question evaluates numerical interpolation, time-series data cleaning, monotonicity preservation, extrapolation, and numerical stability skills applied to battery discharge curves, and falls under coding and algorithms within a data science domain.
Coding & AlgorithmsTechnical Screen - GoogleMediumSoftware EngineerImplement quicksort and a binary search tree, and explain how each works internally
Implement quicksort and a binary search tree from scratch and explain how each works internally, including partitioning, pivot choice, insertion, search and deletion. Tests correctness invariants, best, average and worst-case complexity, duplicate and sorted inputs, alternative approaches, and how library implementations differ.
Software Engineering FundamentalsTechnical Screen - GoogleMediumData ScientistImplement sampling and subarray scan
This question evaluates probabilistic sampling and random-number transformation concepts for generating uniform points in a continuous domain, alongside array-processing and algorithmic analysis skills for identifying the longest strictly increasing contiguous subarray.
Coding & AlgorithmsTechnical Screen - GoogleEasyData ScientistImplement sampling, subarray scan, and percentile estimate
This problem tests your ability to generate random uniform points within a geometric shape, process contiguous array properties using linear scans, and perform linear interpolation on histogram data to approximate percentiles.
Coding & AlgorithmsTechnical ScreenGeometryAlgorithmsStatistics - GoogleEasySoftware EngineerImplement string formatting and request tracking tasks
This question tests string manipulation, character mapping logic for rotational symmetry, and the ability to manage time-ordered event tracking using appropriate data structures.
Coding & AlgorithmsTechnical ScreenStringsTwo PointersHash Maps - GoogleMediumMachine Learning EngineerImplement substring search and weighted sampling
This question tests the ability to implement a fast substring matching algorithm and a data structure that supports weighted random sampling from a dynamic collection of items.
Coding & AlgorithmsTechnical ScreenString MatchingKMPProbability - GoogleHardSoftware EngineerInfection Spread on a Grid (Cellular Automaton)
Implement an optimized discrete-time cellular automaton simulating epidemic spread on a 2D grid with recovery durations, barriers, and multi-neighbor infection thresholds.
Coding & AlgorithmsTechnical ScreenBreadth-First SearchSimulationMatrix - GoogleMediumData ScientistInfer distribution and choose robust statistics
This problem tests the ability to diagnose non-normal data distributions (specifically zero-inflated, heavy-tailed data) and select appropriate statistical metrics for hypothesis testing.
Statistics & MathTechnical ScreenStatisticsData DistributionsHypothesis Testing - GoogleHardMachine Learning EngineerInterpret Language-Model Perplexity
Learn the exact likelihood basis of perplexity, correct evaluation details, tokenizer caveats, and limits as an LLM quality metric.
Machine LearningTechnical Screen - GoogleMediumSoftware EngineerLayer Config Trees with Pluggable Per-Path Merge Strategies
Combine a default configuration tree with an environment overlay where each path can pick a merge strategy such as deep, override, preserve, concat, union, or keyed list matching, and new strategies plug in without touching the traversal. Tests simultaneous tree recursion, registry-based extensibility, ordering rules and type-conflict handling.
Software Engineering FundamentalsTechnical Screenrecursiontreesextensibility - GoogleHardProduct ManagerLegacy Payroll System Migration Plan
Practice designing a legacy payroll migration plan for a regulated environment. The solution covers phased versus big-bang migration, data mapping, validation, parallel payroll reconciliation, privacy controls, rollback triggers, cutover playbooks, governance, stakeholder communication, and safe decommissioning.
Product / Decision MakingTechnical Screen - GoogleHardMachine Learning EngineerList regularization methods and trade-offs
This question evaluates competency in machine learning regularization and model generalization, covering familiarity with methods such as L1/L2, dropout, early stopping, data augmentation, label smoothing, mixup, normalization, Bayesian priors, and ensembling.
Machine LearningTechnical Screen - GoogleMediumSoftware EngineerLoad a Delivery Van With Equal-Size Crates for Maximum Profit
Pick crates from limited stock to fill a van whose slots can number in the billions, when every crate takes one slot; recognize that the scary-looking bounded knapsack collapses to a greedy, then answer many capacity queries fast.
Coding & AlgorithmsTechnical Screengreedysortingprefix-sums
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