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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 6721–6750 of 9403 results
- PalantirMediumSoftware EngineerGroup employees by shared interests
This question evaluates a candidate's competency in organizing and querying collections, mapping relationships between entities, and reasoning about algorithmic time and space complexity within data structures and grouping operations.
Coding & AlgorithmsTechnical Screen - PalantirMediumSoftware EngineerHandle value conflicts and disagreeing with leadership
This question evaluates ethical judgment, professional disagreement, stakeholder communication, and ownership/accountability within leadership and team contexts for software engineers.
Behavioral & LeadershipOnsite - PalantirEasySoftware EngineerMerge K Individually Sorted Integer Arrays Into One Sorted Array
Merge k integer arrays, each sorted in non-decreasing order, into one sorted array that keeps every duplicate. The interviewer asked for the two-pointer method and divide and conquer, so the problem tests merging sorted sequences and how the cost grows with the number of arrays.
Coding & AlgorithmsTechnical Screen - PalantirMediumSoftware EngineerOptimize Coupon Selection Under a Twenty-Point Budget
Optimize coupon activations under a 20-point budget to maximize monetary savings while handling item/category stacking, savings caps, rounding, and tie-breaking.
Software Engineering FundamentalsOnline AssessmentAlgorithmsDynamic ProgrammingBit Manipulation - PalantirMediumSoftware EngineerReflect on experiences and teamwork
Reflect on experiences and teamwork evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipTechnical Screen - PalantirMediumSoftware EngineerSimulate a Growing Snake on a Grid and Report the Score After Every Move
Simulate a snake moving on a rectangular grid, eating food that appears one piece at a time, and return the score after every move or -1 once the snake leaves the board or runs into itself. It tests precise state simulation, collision rules around the moving tail, and efficient tracking of the snake's body.
Coding & AlgorithmsTechnical Screen - PalantirMediumSoftware EngineerStack Item and Category Coupons with an Eighty-Percent Cap
Implement a cart checkout calculator that stacks item and category discounts multiplicatively, caps savings at 80%, and applies round-half-up once per item.
Coding & AlgorithmsOnline AssessmentImplementationMathSimulation - Palo Alto NetworksMediumSoftware EngineerDescribe background and resume highlights
This question evaluates a candidate's ability to communicate professional background concisely, demonstrate incident ownership and leadership, articulate technical decisions and trade-offs, and quantify measurable impact relevant to secure, high-availability systems within the Behavioral & Leadership domain of software engineering.
Behavioral & LeadershipOnsite - Palo Alto NetworksMediumSoftware EngineerDesign a Scheduler and Metrics Platform
This question evaluates a candidate's ability to design cloud-native distributed systems, covering job scheduling, lifecycle management, observability, persistence, resource-aware placement, retry semantics, and multi-tenant security for containerized workloads.
System DesignOnsite - Palo Alto NetworksEasySoftware EngineerDesign a device configuration system
This question evaluates system design and distributed systems competency, including API design, storage modeling, rollout workflows, operational behavior, and consistency trade-offs for device configuration management.
System DesignOnsite - Palo Alto NetworksMediumSoftware EngineerDesign a thread-safe high-QPS rate limiter
A Palo Alto Networks system-design screen: design and implement a thread-safe, high-QPS rate limiter that enforces per-identity request quotas. The answer covers algorithm choice (token bucket vs. fixed/sliding window), atomic per-key state with locks or CAS, hot-path performance, bounded-memory eviction, distributed scaling (Redis+Lua, token leasing, consistent-hash partitioning), and rejection semantics.
System DesignTechnical Screen - Palo Alto NetworksHardSoftware EngineerDesign an ML inference orchestration platform
This question evaluates system-design and ML infrastructure competencies, focusing on orchestration of multi-model inference workflows, distributed data flow and storage, versioning and model management, scaling and deployment, failure handling, observability, and multi-tenant security and quota management.
ML System DesignOnsite - Palo Alto NetworksMediumSoftware EngineerFind Maximum Rectangle in Bar Chart
This question evaluates algorithmic problem-solving and data structure proficiency in computing the maximum rectangular area within a histogram-like array, focusing on contiguous segment analysis and range-based aggregation.
Coding & AlgorithmsOnsite - Palo Alto NetworksMediumSoftware EngineerFind minimum tanks to cover all houses
This question evaluates a candidate's proficiency in algorithm design, specifically greedy strategies and string/array manipulation for coverage and optimization under local adjacency constraints.
Coding & AlgorithmsTechnical Screen - Palo Alto NetworksMediumSoftware EngineerFind normalized list difference efficiently
This question evaluates competency in computing normalized list differences, including string normalization, collection comparison, duplicate handling, and time and space complexity reasoning.
Coding & AlgorithmsOnsite - Palo Alto NetworksMediumSoftware EngineerMirror a binary tree and analyze complexity
This question evaluates understanding of binary tree manipulation and traversal methods, emphasizing recursion and iterative approaches as well as the ability to reason about time and space complexity.
Coding & AlgorithmsOnsite - ParadromicsMediumSoftware EngineerCompare RDBMS vs NoSQL and containers
Evaluates mastery of data storage and scaling trade-offs (RDBMS vs NoSQL), virtualization and containerization concepts (VMs, Docker), orchestration features (Kubernetes), and language-level performance optimization (Python vs C++).
Software Engineering FundamentalsTechnical Screen - ParadromicsMediumSoftware EngineerCompute ways to climb n steps
This Coding & Algorithms question evaluates recursion and dynamic programming concepts by asking for the count of distinct ways to climb n steps, framed at an algorithmic/implementation level. It is commonly asked because it probes recognition of overlapping subproblems and the ability to optimize naive recursive approaches through subproblem reuse and improved time/space efficiency.
Coding & AlgorithmsTechnical Screen - ParadromicsMediumSoftware EngineerImplement a hash table with put/get
This question evaluates implementation and design skills for hash-based data structures, testing competency in data structures, hashing, collision handling, and achieving expected O(1) put/get performance in the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - ParafinHardSoftware EngineerDesign a loan application system
Design a loan application system evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignOnsite - ParafinHardSoftware EngineerDesign loan application system
This question evaluates architecture and systems engineering competencies related to building scalable, compliant financial platforms, including data modeling, API and event-driven workflow design, security, and regulatory integration.
System DesignOnsite - Paramount CommerceHardSoftware EngineerDesign a Go music player with playlists
This question evaluates object-oriented system design, API and data-structure modeling, state and concurrency management, persistence considerations, and algorithmic time/space complexity within a Go-based music player domain.
System DesignTechnical Screen - Paramount CommerceMediumSoftware EngineerExplain motivations and company fit
This question evaluates motivation, cultural and team fit, adaptability, and the ability to handle ambiguity while aligning technical work with business goals.
Behavioral & LeadershipTechnical Screen - PatreonMediumSoftware EngineerAnalyze Reports in a Nested Org Chart
This problem tests your ability to model hierarchical tree structures and use post-order traversal to aggregate data across deep organizational levels efficiently.
Coding & AlgorithmsTechnical ScreenTreesGraphsRecursion - PatreonEasyData EngineerDesign a Data Processing System for JSON User Records: Batch vs Streaming Input
Design a data processing system for JSON user records that contain names, addresses and payment methods, and explain how the design changes when the upstream source delivers data in batches versus as a continuous stream. It tests pipeline architecture, idempotent loading, ordering and late data, and the handling of sensitive fields.
System DesignTechnical Screen - PatreonEasySoftware EngineerDesign org chart lookup with preprocessing
This question evaluates skills in data structures and algorithms, specifically tree/forest representation, aggregation of subtree metrics, dynamic updates, and rigorous time and space complexity analysis.
Coding & AlgorithmsTechnical Screen - PayPalMediumData ScientistAnalyze Transactions for Risk and Implement Mitigation Strategies
Analyze Transactions for Risk and Implement Mitigation Strategies 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 & ExperimentationOnsite - PayPalMediumSoftware EngineerAssess HashMap vs ConcurrentHashMap
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Assess HashMap vs ConcurrentHashMap states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsTechnical Screen - PayPalHardData ScientistAssess card transactions and plan risk strategy
Assess card transactions and plan risk strategy 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 & ExperimentationOnsite - PayPalMediumData ScientistBoost User Login Rate: Key Metrics to Monitor
This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer for Boost User Login Rate: Key Metrics to Monitor states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Analytics & ExperimentationOnsite
Palantir
Palo Alto Networks
PayPal