Technical Screen Interview Questions
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Adobe Coding Question: Shortest Subarray with K Distinct
Shortest contiguous subarray with exactly k distinct integers. Learn sliding-window + hash-map approach, edge cases, and practical tips — practice now.
Adobe ML Engineer: Recommendation Systems (Fundamentals)
Prepare for Adobe ML interviews on recommendation systems: matrix factorization, cold-start strategies, and evaluation metrics. Study examples and practice now.
Adobe System Design: Scalable Subscription Management
Design a scalable subscription management backend for Adobe-like SaaS: billing, renewals, upgrades, webhooks, access control. Learn architecture patterns, APIs.
Airbnb Coding: Max Candies From Boxes (BFS/Greedy)
Study Airbnb coding question 'Max Candies From Boxes' — learn a BFS/greedy simulation approach, handle keys/containedBoxes and edge cases, and test a Python solution.
Airbnb ML System Design: Customer LTV Prediction
Airbnb LTV prediction system design: data ingestion, feature engineering, model training, serving and monitoring. Read actionable steps and trade-offs. Now.
Airbnb System Design: Scalable Multi-Channel Notifications
Practice an Airbnb system design: build a scalable, multi-channel notification backend for event-triggered and batch sends. Learn trade-offs and follow-ups.
Amazon Computer Architecture Interview: Parallelism, Memory
Prepare for Amazon Computer Architecture interviews: parallelism, pipelining, caches, virtual memory, RISC vs CISC. Try practice problems and follow-ups.
Amazon ML System Design: Scalable RAG Q&A for Support
Prepare for Amazon ML interviews: design a scalable RAG Q&A system. Learn architecture, retrieval, LLM serving and scaling. Study system design now with tips.
Amazon OOD Interview: Restaurant System with Custom Orders
Amazon OOD: design a scalable restaurant system with reservations, customizable pizzas, order processing, payments and staff roles. View approach & follow-ups.
Anthropic Coding Interview: Domain-Scoped Web Crawler
Implement a domain-scoped web crawler for Anthropic's coding interview: build single-threaded, multi-threaded and asyncio variants with politeness and dedup. Practice it.
Anthropic ML Coding: Prompt-based Binary Classifier
Build a prompt-based binary classifier from per-token log-probs, convert scores to P_pos, compute accuracy & cross-entropy without libraries. Read steps & tips.
Anthropic System Design: Stateless Prompt Playground
Design a stateless prompt engineering playground backend for Anthropic: handle 10MB+ prompts, multi-window sharing, streaming LLM calls, and cost/security trade-offs.
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