storage Interview Questions
23 interview questions in our bank cover storage, most of them System Design for ML. They average 3.5/5 difficulty — hard — and each one was reported by a candidate after a real interview. Companies known to ask about storage: JPMorgan, LinkedIn, Apple, Salesforce, Amazon, and 11 more.
Practice these on the problems board →Companies that ask about storage
Question mix
- System Design for ML23
Difficulty
- 3/5 — medium12
- 4/5 — hard10
- 5/5 — very hard1
Questions tagged storage
Design a Distributed AI Model Downloader
4/5Tackle the challenge of efficiently transferring colossal machine learning parameter files from centralized storage to thousands of edge GPU nodes in this system design interview reported from Anthropic. You will design a high-throughput distribution network that prevents bandwidth saturation using peer-to-peer or tree-based fan-out mechanisms, while managing local node caching, versioning, and partial download resumption. Unlock the complete system architecture, bottleneck analysis, and expert solution with a subscription.
System Design for MLAnthropicDistributed File System Metadata Layer with Strong Consistency
4/5Dive into a complex distributed systems architecture challenge inspired by technical interviews at Databricks. You will design the directory and file management metadata tier for a massive storage network, emphasizing strict consistency guarantees and fault tolerance over weak replication models. The exercise assesses your mastery of consensus protocols, hierarchical tree organization, and high-availability design principles. Unlock the complete system architecture blueprint and expert analysis with a subscription.
System Design for MLDatabricksImage Link Crawler Service
3/5Featured in Atlassian system design interviews, this architecture challenge focuses on building a distributed web crawler tailored for discovering image assets. Candidates must design APIs for job submission and status tracking while addressing data persistence, recursive link traversal, and failure management at scale. This exercise evaluates large-scale system planning and asynchronous processing skills. Access to the comprehensive design guide and expert architecture breakdown requires a subscription.
System Design for MLAtlassianProperty Rental Search System
3/5This system design challenge, frequently discussed in JPMorgan interviews, focuses on architecting a globally scalable property rental platform on modern cloud infrastructure. Candidates must design resilient services to handle secure property browsing, real-time search queries, transactional payments, and user state management for an international customer base. The exercise tests high-level architectural choices, data consistency, and performance optimization under heavy load. Access the comprehensive architectural guide and expert design breakdown with a paid subscription.
System Design for MLJPMorganDaily Puzzle Submission and Leaderboard System
3/5Designing a global puzzle platform involves handling sudden traffic surges around midnight while maintaining responsive leaderboards and consistent daily schedules. Highlighted in engineering interviews at Uber, this system design problem requires architecting a scalable backend that records single daily submissions, computes scores securely on the server side, and updates regional rankings instantly. You will explore caching strategies, database partitioning, and idempotency guarantees to handle millions of active participants smoothly. Unlock the complete architectural breakdown, capacity calculations, and expert system design solution by subscribing today.
System Design for MLUberDesign an S3-Style Blob Store with Deduplication
4/5This system architecture challenge focuses on designing a cloud object storage service engineered specifically to minimize storage redundancy through content-addressable deduplication. As a notable Snowflake interview question, it explores distributed storage principles, cryptographic hashing for identification, and maintaining transparent file paths. Unlocking the comprehensive design breakdown and expert architectural solutions requires an active subscription.
System Design for MLSnowflakeDesign Object Storage / File Sync (Dropbox / S3)
4/5Mastering large-scale distributed cloud storage architectures is essential for modern infrastructure roles, often featured in senior system design loops at top-tier organizations like Apple. This challenge requires engineering a robust object storage and file synchronization platform capable of handling massive daily ingestion volumes while guaranteeing high durability targets and low-latency update propagation. Candidates must address intricate architectural concerns including block-level deduplication, optimistic concurrency control for conflict resolution, efficient metadata management, and horizontal scaling strategies across multiple tiers. Access to the comprehensive problem breakdown and expert reference architecture requires an active subscription.
System Design for MLAppleDesign Google Drive / Data Room
3/5Architect a secure document storage and management platform inspired by real-world system design interviews at Harvey. This challenge focuses heavily on establishing robust organization-level access control lists and handling scalable file handling for digital assets. You will learn how to design reliable storage hierarchies and security boundaries while addressing enterprise-grade data governance requirements. Gain access to the comprehensive system architecture guide and expert recommendations through our subscription.
System Design for MLHarveySingle-Machine Key-Value Store with Filesystem Spill
4/5Tackle an engaging system architecture challenge reported during LinkedIn interviews, focusing on building a high-capacity key-value storage engine on a single machine. You will learn how to manage massive datasets with limited memory by leveraging append-only files and designing effective compaction strategies without resorting to distributed consensus protocols. This problem tests your grasp of persistent storage, data structures, and resource constraints. Access to the full design blueprint and expert solutions requires a subscription.
System Design for MLLinkedInDistributed Job Scheduler / Calendar Service
4/5This distributed systems design challenge, frequently reported from interviews at LinkedIn, focuses on building a highly scalable job scheduler and calendar service capable of managing millions of concurrent tasks with strict latency constraints. Candidates must design reliable worker pools, handling mechanisms for timezones, recurrence rules, and real-time dashboard updates. Access the comprehensive system architecture, trade-off analysis, and expert solutions with a paid subscription.
System Design for MLLinkedInDesign a Collaborative Spreadsheet (Google Sheets)
4/5Presented during an onsite engineering round at Salesforce, this system design challenge requires architecting a real-time collaborative workspace supporting simultaneous edits, formula calculations, and data persistence. It evaluates your expertise in handling distributed concurrency, state synchronization, and scalable backend data models. Uncover the comprehensive architectural guidelines and complete system breakdown with a subscription.
System Design for MLSalesforceURL Shortener With Click Tracking
3/5This JPMorgan system design question explores the architecture behind compact hyperlink generators and traffic analytics collectors. Engineers must address core challenges including high-throughput redirection, collision management, expiration policies, and tracking read-write workloads at scale. This scenario tests your knowledge of distributed data storage, hashing strategies, and low-latency routing patterns often seen in enterprise infrastructures. Unlock the comprehensive architecture guide, scaling considerations, and expert solutions with a subscription.
System Design for MLJPMorganShopping Cart Latency and Inventory
3/5Discussed in technical system design interviews at JPMorgan, this challenge centers on architecting a responsive e-commerce shopping cart and checkout pipeline. You must address high-throughput read and write operations, real-time inventory tracking to prevent overselling, and concurrency controls for scarce product drops. The discussion emphasizes balancing low-latency user experiences with strict transactional consistency under heavy load. Read the comprehensive architectural guide and expert recommendations by securing a subscription.
System Design for MLJPMorganMetrics and Monitoring Platform
4/5Design scalable data telemetry systems in this advanced architecture challenge inspired by technical evaluations at LinkedIn. You will architect a high-throughput monitoring platform capable of ingesting massive event streams, executing complex multidimensional aggregations, and serving low-latency range queries. The task focuses on optimizing hot-path storage, partitioning strategies, and handling heavy read-write concurrency. Unlock the full architectural breakdown and expert solution by purchasing a subscription.
System Design for MLLinkedInDistributed Key-Value Store Design
3/5Featured in Airbnb system design discussions, this challenge focuses on architecting a horizontally expandable distributed data store with support for time-to-live expiration and rapid retrieval speeds. You will need to address core architectural concerns including consistency, partitioning, and replication strategies. Review the complete system requirements and architectural blueprint by securing a subscription.
System Design for MLAirbnbDesign an Async Job / Task System
3/5In this system design interview question from Salesforce, candidates are tasked with engineering a robust asynchronous task execution platform from scratch. The discussion covers designing clean public interfaces, managing job state transitions, implementing reliable retry policies, ensuring idempotency, and selecting appropriate storage layers. It evaluates your capacity to conceptualize and explain a complete distributed background processing service end-to-end. Gain access to the full architectural guidelines and expert model design by purchasing a subscription.
System Design for MLSalesforceCore Dump Collection System Design
4/5This architecture interview question, frequently reported at Amazon, challenges candidates to design a robust pipeline for gathering, storing, and analyzing crash diagnostics from distributed infrastructure. Participants must address massive scale, durable binary storage, metadata extraction for efficient querying, and strict security policies. The complete architectural blueprint and expert review require a subscription.
System Design for MLAmazonDesign a Concurrent Image Upload System
3/5This Apple system design question focuses on building a resilient backend framework capable of handling parallel media uploads and instantaneous client feedback. It tests your capability to manage asynchronous task execution, partial errors, and status tracking loops effectively. Unlock the complete system walkthrough and architectural blueprints with a subscription.
System Design for MLAppleFile Backup System with Durable Manifest
5/5This advanced Netflix system design problem requires architecting a resilient file synchronization and backup pipeline capable of handling incremental updates and unexpected failures. You must design a solution that mirrors directory hierarchies, preserves file metadata, ensures data integrity, and resumes safely from a durable manifest after system crashes. The challenge evaluates your expertise in distributed storage reliability, atomicity guarantees, and fault-tolerant workflow design. Unlock the comprehensive system architecture guide and expert reference design by subscribing.
System Design for MLNetflixPerishable-Goods Tracking & Location System
3/5Tackling real-time inventory tracking for perishable goods is a compelling machine learning system design challenge frequently featured in screening rounds at Amazon. This scenario requires architects to design a scalable platform that monitors product lifecycles across numerous retail locations, seamlessly transitioning items to designated storage zones upon expiration while maintaining a reliable audit ledger. Candidates must address challenges related to spatial querying, data durability, and state synchronization at scale. Access to the comprehensive architectural blueprint and expert evaluation details requires a paid subscription.
System Design for MLAmazonDesign a Real-Time Instant Messaging Application with Media Support
3/5Building a scalable instant messaging platform requires careful consideration of real-time communication protocols, robust user authentication, and persistent message storage for both individual and group chats. In this architectural interview question reported by Visa, candidates are asked to design a comprehensive system capable of handling high message throughput and diverse media attachments like images and files. The full system blueprint and detailed design breakdown require a subscription to unlock.
System Design for MLVisaDesign a Distributed Web Crawler
4/5Design a massive distributed web scraping architecture capable of processing billions of pages daily while respecting domain rate limits and handling dynamic JavaScript rendering, as commonly featured in Meta machine learning system design interviews. This challenge evaluates your capability to build robust URL frontiers, implement efficient content deduplication, and manage massive storage throughput under strict fault-tolerance requirements. Elevate your infrastructure design expertise for large-scale distributed environments. Access to the complete system architecture walkthrough and expert solutions requires a subscription.
System Design for MLMetaTelemetry Collector and GPU Utilization Dashboard
3/5Reported as an infrastructure system design interview at NVIDIA, this scenario challenges you to architect a scalable monitoring platform capable of ingesting high-frequency telemetry data from large GPU clusters. You must design storage layers, data retention policies, and query mechanisms that support both granular real-time metrics and long-term trend analysis. The problem evaluates your expertise in distributed systems, data modeling, and high-throughput logging pipelines. Unlock the full architectural requirements and a comprehensive solution guide with a subscription.
System Design for MLNVIDIA
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storage interview FAQ
- How many storage interview questions are there?
- 23 reported questions, mostly System Design for ML.
- Which companies ask storage questions?
- JPMorgan (3), LinkedIn (3), Apple (2), Salesforce (2), Amazon (2), Anthropic (1), Databricks (1), Atlassian (1).
- How hard are storage questions?
- They average 3.5 out of 5: 12 at 3/5, 10 at 4/5, 1 at 5/5.