How to access curated system design interview question banks
A system design interview question bank is a curated, organized collection of open-ended design problems—like "Design Twitter," "Design a URL Shortener," or "Design a Rate Limiter"—with structured solutions, trade-off analyses, and difficulty rankings. Unlike scattered blog posts or random YouTube videos, a well-curated question bank sequences problems from easy to hard, tags them by company and concept, and provides reference solutions that follow the same structure interviewers use to evaluate you.
Key Takeaways
- The most common system design interview questions (URL shortener, chat system, news feed, notification system, web crawler) appear across Google, Meta, Amazon, and Netflix. Mastering 15–20 covers roughly 80% of what you will encounter.
- Curated question banks exist in three formats: structured online courses (Design Gurus, Educative), interactive practice platforms (Codemia, Exponent), and free community resources (GitHub repos, engineering blogs).
- Difficulty matters. Starting with "Design a Rate Limiter" when you cannot yet explain load balancing wastes time. Use question banks that rank problems by tier.
- The best question banks provide solutions structured like real interviews: requirements, estimation, API design, high-level architecture, deep dive, trade-offs.
- Free resources are sufficient for concept learning. Paid platforms add structured practice, AI feedback, and mock interview features.
Why You Need a Curated Question Bank
System design interview preparation has a sequencing problem.
There are hundreds of possible design questions, but they are not equally important, equally difficult, or equally common.
An engineer who studies "Design a Distributed Consensus Protocol" before mastering "Design a URL Shortener" is misallocating prep time.
A curated question bank solves three problems at once. First, it prioritizes: the 15–20 questions that appear most frequently at FAANG companies are identified and ranked. Second, it sequences: problems are ordered from foundational (URL shortener, key-value store) to advanced (distributed search engine, real-time gaming platform). Third, it standardizes: solutions follow a repeatable structure that maps to how interviewers actually score candidates.
At Meta, interviewers evaluate candidates on a rubric that covers requirements clarification, high-level design, component deep-dive, and trade-off analysis.
At Google, the scoring is similar but emphasizes scalability reasoning and bottleneck identification.
A question bank with solutions structured around these rubric elements trains you to produce the exact output interviewers are looking for.
The Core System Design Questions Every Bank Should Cover
Before evaluating platforms, know what a complete question bank looks like. These 20 questions cover the concepts that appear in 80%+ of system design interviews.
| Tier | Questions | Key Concepts Tested |
|---|---|---|
| Tier 1: Foundations | URL shortener, Paste bin, Rate limiter, Key-value store, Unique ID generator | Hashing, caching, database basics, simple APIs |
| Tier 2: Classic Apps | Twitter/news feed, Instagram, Chat system (WhatsApp), Notification system, Web crawler | Fan-out strategies, WebSockets, push/pull, message queues |
| Tier 3: Data-Heavy | Search autocomplete, YouTube/video streaming, Google Drive/Dropbox, Distributed cache, Newsfeed ranking | CDN design, blob storage, indexing, ranking algorithms |
| Tier 4: Complex Systems | Uber/ride-sharing, Hotel booking, Ticket booking (Ticketmaster), Distributed task scheduler | Real-time location, double-booking prevention, job scheduling |
| Tier 5: Expert | Google Maps, Distributed search engine, Code deployment system, Ad click aggregator | Geospatial indexing, inverted indexes, CI/CD pipelines, real-time analytics |
Start at Tier 1. Do not move to Tier 2 until you can whiteboard every Tier 1 question from memory in under 15 minutes. This progressive approach prevents the overwhelm that causes most candidates to abandon their prep.
Where to Access Curated System Design Interview Question Banks
Structured Online Courses
Design Gurus — Grokking the System Design Interview
The Grokking series is the most widely used system design question bank for FAANG interview preparation. The original Grokking the System Design Interview covers 30+ design problems with step-by-step solutions following a consistent framework: requirements, estimation, API design, high-level architecture, detailed design, and trade-off analysis.
Problems are organized by category (social media, messaging, storage, streaming) and each solution includes annotated architecture diagrams. The course has trained 444,000+ engineers and has 30,000+ five-star reviews. For advanced problems like designing Kafka, Memcached, or multi-region active-active systems, Grokking the Advanced System Design Interview covers production-scale architectures from real companies.
For a complete overview of how to use these question banks within a broader prep strategy, the Ultimate System Design Interview Guide maps the entire process from fundamentals through offer negotiation.
ByteByteGo (Alex Xu)
ByteByteGo's question bank is built around Alex Xu's "System Design Interview" book series (Volumes 1 and 2). The platform provides visual, diagram-heavy solutions for 30+ problems. Each solution includes data flow diagrams, capacity estimations, and explicit trade-off discussions. ByteByteGo's strength is visual clarity—their architecture diagrams are among the most shared system design content online.
Interactive Practice Platforms
These platforms go beyond reading. They let you solve system design problems actively, with AI feedback and peer review.
Codemia.io
Codemia has the largest collection of system design practice problems—120+ questions organized by difficulty (easy, medium, hard, advanced) with company tags. Each problem provides a structured workspace where you define requirements, estimate capacity, design APIs, sketch architecture, and receive AI-powered feedback on your solution. Expert-authored solutions are available for 75+ problems.
Codemia also includes 20+ object-oriented design problems and 200+ DSA problems with step-by-step visualizations, making it a unified prep platform. Free problems are available; the full bank requires a premium subscription (~$59/year).
Bugfree.ai
Bugfree.ai focuses on AI-powered mock interviews for system design. It includes 3,200+ real interview questions across system design, ML, and behavioral rounds. The platform simulates the conversational flow of a real interview and provides automated scoring.
TechPrep.app
TechPrep curates 34 core concept questions and ranks practice problems by popularity. Every solution follows the exact rubric structure interviewers use: functional requirements, non-functional requirements, data model, API design, high-level design, and deep dives. The platform also offers an AI whiteboard that evaluates your design in real time.
Free Community Resources
GitHub: system-design-primer (Donne Martin)
With 200,000+ stars, this is the most popular system design repository on GitHub. It covers fundamental concepts with linked resources but is more of a learning index than a structured question bank. Best used as a navigation hub to find the right primary sources.
64 System Design Questions, Ranked by Difficulty
A recent community effort ranked 64 system design questions from easiest to hardest across five tiers, drawn from the complete Grokking series (original, Volume II, advanced, and crash course). This ranked list solves the sequencing problem—you know exactly which question to tackle next based on your current level.
Engineering Blog Question Collections
Design Gurus publishes a library of 185+ system design articles including a "Most Common System Design Interview Questions" guide organized by difficulty with brief approach descriptions for each.
How to Use a Question Bank Effectively
Having access to 120+ questions means nothing if you practice them wrong.
Here is the method that converts question bank access into interview performance.
Step 1: Assess your starting level. Try one Tier 1 and one Tier 3 question cold (no studying). If you cannot structure a coherent answer for the Tier 1 question, start with fundamentals—you are not ready for the question bank yet. If you handle Tier 1 comfortably but struggle with Tier 3, you know where to focus.
Step 2: Study one problem per day. Read the solution thoroughly. Understand why each decision was made. Note the trade-offs. Then close the solution and redesign the system from scratch on a whiteboard. Compare your design to the reference.
Step 3: Time yourself. Real interviews are 35–45 minutes. Once you have studied a problem, set a 40-minute timer and complete the full design—requirements, estimation, API, high-level, deep dive, trade-offs—without referring to notes. If you cannot finish, you need to practice pacing.
Step 4: Practice with a partner. After solo practice, do mock interviews with a peer. The partner asks follow-up questions ("What if the database goes down?" "How would you scale this 10x?") that you cannot predict from reading solutions alone. Exponent and Codemia both offer peer matching.
Step 5: Rotate difficulty. Do not grind Tier 1 for three weeks. Once you are comfortable with Tier 1 (can whiteboard any problem in 15 minutes), move to Tier 2. Revisit earlier tiers weekly to maintain fluency.
Question Banks Compared: Choosing the Right Platform
| Platform | Questions | Solutions Included | AI Feedback | Mock Interviews | Price |
|---|---|---|---|---|---|
| Design Gurus (Grokking) | 30+ (original) + 30+ (advanced) | Yes, structured | No | No | 79–199 per course |
| ByteByteGo | 30+ | Yes, visual | No | No | 79–199/year |
| Codemia | 120+ | 75+ expert solutions | Yes | Peer matching | ~$59/year |
| Exponent | 374+ (community) | Community answers + videos | No | Peer matching | ~$120/year |
| TechPrep | 34 core + practice | Yes, rubric-structured | AI whiteboard | No | Free tier + paid |
| GitHub repos | 50–64 (curated lists) | Links to external solutions | No | No | Free |
If you learn best by reading structured solutions: Design Gurus or ByteByteGo. If you learn best by active practice with feedback: Codemia or TechPrep. If you need company-specific questions: Exponent. If your budget is zero: GitHub repos + engineering blogs + free tiers.
Sample Question Walkthrough: How a Question Bank Structures a Solution
Here is how a well-curated question bank presents "Design a Notification System"—showing the structure interviewers grade you on.
Functional Requirements: Send push notifications (iOS/Android), SMS, and email. Support scheduling. Allow users to manage notification preferences. Track delivery status.
Non-Functional Requirements: 100M daily notifications. Delivery within 5 seconds for push. At-least-once delivery guarantee. 99.99% availability.
Estimation: 100M notifications / 86,400 seconds ≈ 1,157 notifications/second average. Peak traffic: 5x average ≈ 5,785/second.
High-Level Design: Notification Service (receives requests) → Validation & Rate Limiter → Message Queue (Kafka, partitioned by notification type) → Workers (push worker, SMS worker, email worker) → Third-party providers (APNs, FCM, Twilio, SendGrid). User preferences stored in a separate Preferences Service backed by Redis cache + PostgreSQL.
Trade-offs discussed: Push vs. pull delivery (push for real-time, pull for email digests). At-least-once vs. exactly-once delivery (at-least-once is simpler; deduplicate on the client). Single queue vs. per-channel queues (per-channel enables independent scaling and failure isolation).
This structure—requirements, estimation, design, trade-offs—is the repeatable template that question banks train you to produce automatically.
Frequently Asked Questions
What is a system design interview question bank?
A system design interview question bank is a curated collection of open-ended architecture problems with structured reference solutions. Good question banks organize problems by difficulty, tag them by company and concept, and present solutions in the same format interviewers use to score candidates: requirements, estimation, API design, architecture, deep dive, and trade-offs.
How many system design questions should I practice?
Practice 15–20 questions covering different system categories (messaging, streaming, storage, social, real-time). This covers approximately 80% of what FAANG companies ask. Depth matters more than breadth—it is better to deeply understand 15 designs than to superficially skim 50.
Are free system design question banks good enough?
Free resources (GitHub repos, engineering blogs, free course tiers) provide excellent concept coverage and problem lists. They lack structured solutions, AI feedback, and mock interview features. For candidates with 3+ months and strong self-discipline, free resources can work. For tighter timelines, paid platforms significantly accelerate preparation.
Which platform has the most system design questions?
Exponent has the largest raw count (374+ community-submitted questions). Codemia has the most structured practice problems (120+ with AI feedback). Design Gurus' combined Grokking catalog covers 60+ problems across original, advanced, and crash course editions.
Should I practice system design questions by company or by topic?
Start by topic (Tier 1 through Tier 5) to build foundational skills. Then, 2–3 weeks before your interview, switch to company-specific practice.
How long does it take to work through a system design question bank?
At one question per day with 1–2 hours of study and practice, a 20-question bank takes 3–4 weeks. A 50-question bank takes 7–8 weeks. Most candidates achieve interview readiness after completing 15–20 problems with full mock interview practice on 5–10 of them.
What is the difference between Design Gurus' Grokking and ByteByteGo?
Both cover similar question sets with high-quality solutions. Grokking uses a text-based, framework-driven approach with a consistent step-by-step structure per problem. ByteByteGo emphasizes visual learning with animated diagrams and newsletter-style explanations. Choose based on your learning preference: structured frameworks (Grokking) vs. visual walkthroughs (ByteByteGo).
Can I use AI assistants to practice system design questions?
Yes, but with caveats. AI assistants (ChatGPT, Claude, Gemini) can serve as mock interviewers—pose a question, design the system, and ask the AI to critique your solution. They are useful for unlimited practice reps. However, AI feedback lacks the nuanced judgment of a human interviewer. Use AI for daily practice and save human mock interviews for the final 2 weeks before your interview.
What questions do FAANG companies actually ask in 2026?
The most frequently reported system design questions at FAANG in 2026 include: Design a chat system (Meta), Design a news feed (Meta), Design a video streaming platform (Netflix/Google), Design a ride-sharing service (Uber), Design a rate limiter (Amazon/Google), Design a notification system (Amazon), and Design a distributed cache (Google). At Meta specifically, E6+ candidates now face infrastructure-focused questions like "Design Memcached" or "Design Kafka."
How do I track my progress across a question bank?
Create a spreadsheet with columns for: question name, date attempted, time taken, self-rated confidence (1–5), and notes on weak areas. After each attempt, log whether you completed all six phases (requirements, estimation, API, architecture, deep dive, trade-offs) within 40 minutes. Track your confidence score over time—you are interview-ready when most questions score 4+.
TL;DR
Curated system design interview question banks organize problems by difficulty, tag them by company, and provide structured solutions matching interviewer rubrics. The core 20 questions (URL shortener through distributed search engine) cover 80% of FAANG interviews. Access them through structured courses (Design Gurus' Grokking series, ByteByteGo), interactive practice platforms, or free GitHub repositories.
Practice one question per day, time yourself at 40 minutes, and do at least 5 mock interviews with a partner before your real interview. Start at Tier 1 and progress upward—skipping foundational questions to jump to complex ones is the most common preparation mistake.
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