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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
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- 11
- Topics
- 8
- Languages
Showing 8521–8550 of 9403 results
- Together AIEasySoftware EngineerDiagnose Slow Network Throughput Including Containers
Investigate slow network throughput across application, transport, host, and container layers using controlled comparisons, retransmissions, limits, and path behavior.
Software Engineering FundamentalsTechnical Screen - Together AIEasySoftware EngineerDiagnose Storage I/O Performance and Identify the Workload
Diagnose storage slowness using device metrics, process attribution, workload shape, cache and durability effects, and measurements appropriate to the storage stack.
Software Engineering FundamentalsTechnical Screen - Together AIMediumSoftware EngineerHistorical Lookups in a Timestamped Key-Value Store
Implement historical key-value lookups using timestamped writes, per-key ordered histories, and binary search for the latest eligible value.
Coding & AlgorithmsTechnical Screen - Together AIEasySoftware EngineerInvestigate a Server Saturated by Logging
Trace logging-related server saturation through resource attribution, producer/sink behavior, bounded queues, rotation and retention, and verified mitigation.
Software Engineering FundamentalsTechnical Screen - Together AIMediumSoftware EngineerSchedule GPU Pods and Drain a Node
Implement a GPU cluster manager to schedule workloads using a deterministic best-fit policy and simulate draining a node to check if all its pods can be migrated without disrupting other nodes.
Coding & AlgorithmsTechnical ScreenGreedySimulationSystem Design - Together AIEasySoftware EngineerSplit a Chunked Text Stream into Line-Balanced Parts
Construct any balanced whole-line partition of a chunked text stream, preserving exact content and newline rules while explaining buffering and streaming limits.
Coding & AlgorithmsTechnical Screen - TomaEasyFrontend EngineerApproximate Pi from Random Points
This question evaluates a candidate's understanding of Monte Carlo estimation, basic Euclidean geometry, probability, and numerical reasoning when using random sampling to approximate mathematical constants.
Coding & AlgorithmsTechnical Screen - TomaEasyFrontend EngineerIdentify the CSS color function
This question evaluates a candidate's understanding of CSS color functions, specifically knowledge of channel-based color specification and the use of an optional opacity component.
Software Engineering FundamentalsTechnical Screen - TomaMediumSoftware EngineerImplement AudioStream Mixer
This problem tests your ability to manage temporal data and stateful buffers by implementing a class that merges multiple incoming audio streams into a single output track using overwrite-based mixing logic.
Coding & AlgorithmsTechnical ScreenHashMapsData StructuresSimulation - TomaEasyFrontend EngineerWhich CSS function supports opacity?
This question tests your knowledge of modern CSS color syntax and the various ways to define transparency within style rules.
Software Engineering FundamentalsTechnical ScreenCSSFrontendStyling - Tools For HumanityEasyData ScientistCompute reply-based engagement metrics
This question evaluates proficiency in data manipulation and analytics, emphasizing SQL/Python skills for temporal filtering, joins between posts and users, deduplication, aggregation (distinct counts), and percentage calculations used to compute reply-based engagement metrics.
Data Manipulation (SQL/Python)Technical Screen - Tools For HumanityEasyData ScientistDetect and evaluate "stolen" posts
This question evaluates data-science competencies in instrumentation and feature design, content-similarity detection and labeling, causal inference for experiments, measurement of harms, and model evaluation, and belongs to the Analytics & Experimentation domain.
Analytics & ExperimentationTechnical Screen - TowerHardData ScientistDebug Oscillating GPU Utilization During Training
Design a systematic debugging and architectural remediation strategy for a distributed deep learning training cluster exhibiting severe GPU utilization oscillation between 90% and 20%.
ML System DesignTechnical Screendistributed-trainingml-system-designgpu-optimization - TowerHardData ScientistExplain Why Constant Neural-Network Initialization Fails
This question tests the conceptual understanding of weight initialization strategies and the symmetry-breaking property required for neural network gradient-based optimization.
Machine LearningTechnical ScreenDeep LearningInitializationOptimization - TowerMediumMachine Learning EngineerExplain the KV Cache and Prefill-Decode Disaggregation in LLM Serving
Explain how the KV cache speeds up autoregressive decoding in transformer language models, estimate how much GPU memory it needs, and describe prefill-decode disaggregation in LLM serving. It tests understanding of compute-bound versus memory-bound inference phases, cache sizing and the trade-offs of splitting the phases across GPU pools.
Machine LearningTechnical Screen - TradedeskMediumFrontend EngineerDebug a Frontend Component That Shows Wrong API Results
A front-end debugging question in which a React component that fetches data sometimes shows results that do not match the current input, even though each API response is correct. It tests how the candidate reproduces a timing-dependent bug, finds the root cause, fixes it in the effect, handles cancellation errors, and verifies the fix with a deterministic test.
Software Engineering FundamentalsOnsite - TradedeskMediumSoftware EngineerFetch and Cache Daily Stock Prices Across a Date Range
This problem tests your ability to build a resilient data-fetching client that handles network unreliability, data integrity validation, and efficient caching patterns.
Software Engineering FundamentalsOnline AssessmentAPICachingError Handling - TradedeskMediumFrontend EngineerImplement a Publish-Subscribe Event Bus in JavaScript or TypeScript
A front-end coding question asking the candidate to implement an in-process publish-subscribe utility in JavaScript or TypeScript with subscribe, publish, and unsubscribe. It tests API design, choice of data structures, safe iteration when subscribers change during a publish, isolation of subscriber errors, and cleanup that avoids memory leaks.
Software Engineering FundamentalsOnsite - TradedeskMediumFrontend EngineerObject-Oriented Design of an Elevator Control System
An object-oriented design question asking the candidate to model an elevator control system: its classes, their responsibilities, and how a button press becomes an elevator stop. It tests requirement scoping, a clear per-car state model, stop ordering and dispatch policies that can be swapped out, handling of out-of-service cars and duplicate requests, and testability.
Software Engineering FundamentalsOnsite - TradedeskMediumSoftware EngineerProcess Operations in a Timestamped In-Memory Database
This problem tests your ability to design an in-memory data store with complex querying and expiration requirements using efficient nested data structures.
Coding & AlgorithmsOnline AssessmentHash MapSortingData Structures - TransunionMediumData ScientistDescribe past project experience clearly
This prompt evaluates a candidate's competencies in applied data science tools and practices—including proficiency in Python or R, SQL querying and data transformation, problem scoping under ambiguity, technical-to-nontechnical communication, and team coordination.
Behavioral & LeadershipTechnical Screen - TransunionEasyData ScientistHow would you answer a DS video interview?
TransUnion's Data Scientist Intern technical screen is an asynchronous video interview with five ~2-minute prompts covering Python/R problem solving, SQL usage, working under ambiguity, explaining technical work to non-technical stakeholders, and keeping a team aligned. This guide gives a per-prompt structure, the evaluator rubric, strong sample outlines, and the common mistakes to avoid.
Behavioral & LeadershipTechnical Screen - TrexquantMediumSoftware EngineerC++ Fundamentals: const Pointers, and map vs unordered_map
This question evaluates a candidate's grasp of C++ fundamentals, specifically const-correctness with pointers and the distinction between ordered and hash-based associative containers. It tests conceptual understanding of pointer semantics and data structure trade-offs (tree vs. hash table complexity and ordering), a common check in language-fundamentals interview rounds.
Software Engineering FundamentalsTechnical Screen - TrexquantMediumSoftware EngineerImplement Trie search with wildcard matching
This question evaluates understanding of trie data structures, string pattern matching with wildcard characters, and efficient algorithm design for large-scale add/search operations.
Coding & AlgorithmsOnsite - TrexquantMediumSoftware EngineerMaintain median of a data stream
This question evaluates proficiency in streaming data aggregation, dynamic order-statistics maintenance, and algorithmic complexity analysis for insertion and query operations.
Coding & AlgorithmsOnsite - TrexquantMediumSoftware EngineerStreaming Median Tracker
This question evaluates a candidate's ability to design a data structure that maintains a running median over a stream of numbers, testing knowledge of heaps and balanced data partitioning. It is a classic coding and algorithms interview problem used to assess understanding of amortized time complexity and efficient online statistics tracking, requiring practical implementation rather than just conceptual discussion.
Coding & AlgorithmsTechnical Screen - TripStackMediumSoftware EngineerCompute minimum resources for overlapping intervals
This question evaluates understanding of interval overlap reasoning, resource-allocation and scheduling concepts, and proficiency with algorithmic complexity and appropriate data structure choices.
Coding & AlgorithmsTechnical Screen - TripStackHardSoftware EngineerExplain Go concurrency and database choices
This question evaluates a candidate's understanding of Go concurrency primitives and scheduler behavior, cross-language concurrency comparisons, database model trade-offs (relational, document, columnar, key–value), and end-to-end storage design for high-concurrency systems.
System DesignTechnical Screen - TripadvisorMediumSoftware EngineerBuild blog UI with API data and likes
This question evaluates front-end JavaScript competencies including UI rendering, client-side state management, asynchronous REST API integration, loading and error handling, and resolving author identity relative to the current user.
Coding & AlgorithmsOnline Assessment - TruefoundryMediumSoftware EngineerDesign Interviewer Availability and Atomic Booking APIs
Design a relational data model and concurrent APIs for managing interviewer availability and atomic candidate interview booking.
System DesignOnsiteConcurrencyDatabase DesignAPI Design
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