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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
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- 546
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- 11
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- 8
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Showing 2761–2790 of 4616 results
- NetappEasySystem Software EngineerCompare C Generic Techniques and C++ Smart-Pointer Ownership
Tests understanding of low-level generic programming patterns in C and memory ownership semantics in modern C++, including runtime safety and resource management trade-offs.
Software Engineering FundamentalsTechnical ScreenCC++Memory Management - NetappEasySystem Software EngineerReason About Deadlocks, Synchronization, False Sharing, and Privilege Transitions
Analyze systems programming fundamentals across concurrency, memory architectures, and kernel execution through three concrete engineering scenarios.
Software Engineering FundamentalsTechnical ScreenOperating SystemsConcurrencyMultithreading - NetflixMediumSoftware EngineerAnalyze Overlap in Closed Intervals
Implement an algorithm to determine how many closed intervals contain each point in a given list of query coordinates. The problem evaluates interval sweep-line techniques or binary search decomposition, boundary handling, and time/space complexity.
Coding & AlgorithmsTechnical Screenbinary-searchintervalssweep-line - NetflixMediumSoftware EngineerBuild and optimize a video playlist component
Build and optimize a video playlist component 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 DesignTechnical Screen - NetflixMediumMachine Learning EngineerCompare Losses and Explain LoRA
This question evaluates understanding of loss functions (mean squared error versus cross-entropy) and parameter-efficient fine-tuning via Low-Rank Adaptation (LoRA), emphasizing probabilistic interpretations, optimization behavior, and low-rank parameterization.
Machine LearningTechnical Screen - NetflixEasySoftware EngineerCompute Minimum Broadcast Latencies Between Cities
Implement Dijkstra's algorithm to compute the minimum broadcast latency from a source city to all other cities in an undirected, weighted network.
Coding & AlgorithmsTechnical Screengraphdijkstrashortest-path - NetflixMediumSoftware EngineerCompute Minimum Task Completion Time
This problem tests your ability to model task dependencies as a Directed Acyclic Graph (DAG) and compute the longest path in that graph to determine the earliest completion time.
Coding & AlgorithmsTechnical ScreenGraphTopological SortDynamic Programming - NetflixMediumSoftware EngineerCount Pairs of Strings with Disjoint Character Sets
Tests bitmask representation of character sets, frequency-based pair counting, and handling edge cases like empty strings.
Coding & AlgorithmsTechnical ScreenBit ManipulationHash TableString - NetflixHardSoftware EngineerDemonstrate domain expertise and ramp-up ability
This question evaluates domain expertise and ramp-up ability by examining prior experience, learning strategies for unfamiliar domains, cross-functional collaboration, and measurable impact within a software engineering context.
Behavioral & LeadershipTechnical Screen - NetflixMediumSoftware EngineerDesign Netflix viewport deduplication
This interview question evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer for Design Netflix viewport deduplication states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignTechnical Screen - NetflixMediumSoftware EngineerDesign Prefix-Aware Deduplication for Homepage Content Rows
Implement prefix-aware content row deduplication where protected row prefixes cannot share items across rows, while suffixes and exempt rows only enforce row-internal uniqueness.
Software Engineering FundamentalsTechnical ScreenArraysHash TableData Manipulation - NetflixHardSoftware EngineerDesign a File Backup System
This question evaluates understanding of scalable system design, file synchronization and metadata handling, data consistency, fault tolerance, and performance trade-offs involved in designing a file backup system.
System DesignTechnical Screen - NetflixMediumSoftware EngineerDesign a Job Scheduler for ML Training and Batch Inference on a Shared Cluster
Design a job scheduler for machine learning workloads such as training runs and batch inference on a shared compute cluster with GPUs. It tests requirements gathering, queueing and fairness between teams, gang placement for distributed jobs, preemption and checkpointing, and recovery from node and scheduler failures.
System DesignTechnical Screen - NetflixHardSoftware EngineerDesign a concurrent latency percentile tracker
This problem tests your ability to design a high-throughput, thread-safe data structure capable of tracking request latencies and calculating arbitrary percentiles (e.g., p99) within a sliding time window.
Software Engineering FundamentalsTechnical ScreenConcurrencyData StructuresMetrics - NetflixEasySoftware EngineerDesign a crash-resilient file system
This question evaluates understanding of durable storage and crash recovery mechanisms in file system design, including metadata consistency, durability guarantees, and operational concerns like performance and space overhead.
System DesignTechnical Screen - NetflixMediumSoftware EngineerDesign a thread-safe key-value store
This question evaluates knowledge of concurrent programming and thread-safety, including the choice of in-memory data structures for a key–value store and synchronization techniques that ensure atomic put/get/delete operations without internal corruption.
Software Engineering FundamentalsTechnical Screen - NetflixHardSoftware EngineerDesign an ads audience targeting system
This problem evaluates your ability to design a high-scale, low-latency system for filtering user profiles against complex, dynamic advertising audience segments.
System DesignTechnical ScreenScalabilityDistributed SystemsCaching - NetflixHardSoftware EngineerDesign command executor with undo
This problem tests the application of the Command design pattern and stack-based data structures to manage reversible operations in an application state.
Coding & AlgorithmsTechnical ScreenDesign PatternsStacksCommand Pattern - NetflixMediumSoftware EngineerDesign homepage viewport rendering with deduplication
This problem tests the ability to design a content-delivery service that optimizes viewport rendering through client-side requests, server-side deduplication, and efficient data retrieval patterns.
System DesignTechnical ScreenAPI DesignCachingHigh Availability - NetflixHardSoftware EngineerDesign viewport dedup for Netflix home page
Design viewport dedup for Netflix home page 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 DesignTechnical Screen - NetflixMediumMachine Learning EngineerExplain self-attention, LoRA, Adam vs SGD, ViT
This question evaluates understanding of modern Machine Learning/Deep Learning topics, including self-attention mechanics (queries, keys, values and scaled logits), Low-Rank Adaptation (LoRA) for parameter-efficient fine-tuning and memory savings, optimizer behavior (Adam versus SGD with momentum), and architectural trade-offs between Vision Transformers and CNNs including patch-size considerations. It is categorized under Machine Learning and is commonly asked because it probes both conceptual understanding and practical application—testing reasoning about training dynamics, model scaling, fine-tuning strategies, and resource/performance trade-offs.
Machine LearningTechnical Screen - NetflixMediumMachine Learning EngineerExplain tokenization and Transformer variants
This question evaluates understanding of tokenization techniques and Transformer architecture, covering competencies in subword and SentencePiece-style tokenizers, Transformer block internals, and comparisons of modern architectural variants and trade-offs.
Machine LearningTechnical Screen - NetflixMediumSoftware EngineerFind longest run of identical consecutive shows
This question tests the ability to track state while iterating through an array to identify the longest contiguous sub-sequence of identical elements.
Coding & AlgorithmsTechnical ScreenArraysIterationAlgorithms - NetflixMediumSoftware EngineerFind longest unique show window
This question evaluates concepts in sliding-window algorithms, hash-based duplicate tracking, case-insensitive string handling, and the extension of batch solutions to streaming (online) inputs.
Coding & AlgorithmsTechnical Screen - NetflixMediumSoftware EngineerFind the Longest Run of One Character
Tests linear scan and two-pointer/state-tracking techniques to find the maximum number of consecutive identical characters in an ASCII string using constant auxiliary space.
Coding & AlgorithmsTechnical Screenstringstwo-pointerslinear-scan - NetflixMediumSoftware EngineerFind the Longest Substring Without Repeated Characters
Tests sliding window technique, hash map index tracking, and linear-time constraint optimization on string manipulation.
Coding & AlgorithmsTechnical ScreenSliding WindowTwo PointersHash Table - NetflixMediumMachine Learning EngineerImplement Streaming Word Counter
This question evaluates streaming data processing, string tokenization, and frequency-aggregation competencies, focusing on maintaining accurate counts over incremental text inputs using associative data structures.
Coding & AlgorithmsTechnical Screen - NetflixEasySoftware EngineerImplement a Key-Value Cache with Per-Entry Expiration
This problem tests the ability to design an in-memory storage system that combines fixed-capacity constraints with time-based invalidation logic.
Software Engineering FundamentalsTechnical ScreenHash MapLinked ListConcurrency - NetflixHardData EngineerImplement a Weighted Eviction Cache
This problem tests your ability to design a cache that respects both memory capacity and item weights, requiring an efficient combination of a hash map and a doubly linked list.
Coding & AlgorithmsTechnical ScreenHash MapDoubly Linked ListLRU Cache - NetflixMediumSoftware EngineerImplement an in-memory key-value store with per-key TTL expiration and tests
A coding interview question that asks you to implement an in-memory key-value store whose entries expire after a per-key time-to-live, explain the design as you go, and test it. It tests expiry semantics, overwrite handling, reclaiming memory from keys that are never read again, complexity trade-offs and deterministic tests with a controllable clock.
Software Engineering FundamentalsTechnical Screen
Netflix