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Free Problems
3 Non-functional requirements
This problem set covers key concepts from Chapter 3 on Non-functional Requirements. Test your understanding of scalability, availability, fault-tolerance, performance, consistency, and other critical system design considerations. Each question focuses on practical application of these concepts in real-world system design scenarios.
29 pts Medium 98 non-functional-requirements system-design classification +7
2 A typical system design interview flow
This problem set covers the key concepts from Chapter 2: A typical system design interview flow. The problems test your understanding of interview structure, requirements clarification, API design, data modeling, monitoring, and other critical system design concepts. Each question is based directly on the O'Reilly chapter content and follows the structured interview flow discussed in the material.
30 pts Medium 95 interview-structure system-design-flow requirements-analysis +7
1 A walkthrough of system design concepts
This problem set covers key concepts from Chapter 1 of the O'Reilly book "Acing the System Design Interview". The chapter provides a comprehensive walkthrough of system design fundamentals, including scalability techniques, tradeoffs between different architectural approaches, and the importance of system design interviews for engineering careers. These problems test your understanding of scaling services, cloud vs. bare metal considerations, functional partitioning, and various system design patterns discussed in the chapter.
15 pts Medium 102 system-design-interview tradeoffs communication-skills +7
Digital Wallet (SDIIGV)
This problem set covers key concepts from Chapter 12 on Digital Wallet design, including distributed transactions, event sourcing, and system architecture for high-performance payment systems. The problems progress from basic concepts to advanced design considerations for building scalable and reliable digital wallet services.
27 pts Medium 100 digital-wallet basic-concepts payment-systems +7
Real-time Gaming Leaderboard (SDIIGV)
This problem set covers key concepts from Chapter 10 on designing real-time gaming leaderboards. The problems test understanding of Redis sorted sets, system architecture decisions, scaling considerations, and alternative solutions for handling millions of users in a real-time gaming environment.
24 pts Medium 102 redis sorted-sets time-complexity +7
Stock Exchange (SDIIGV)
This problem set covers key concepts from Chapter 13 on Stock Exchange design, including order matching, system architecture, latency optimization, and high availability. The problems progress from fundamental concepts to advanced system design considerations for building a modern electronic stock exchange.
29 pts Medium 99 stock-exchange terminology limit-order +7
Premium Problems
Python I/O and Data Pipeline Assessment - Part 4
20 questions focused on PyTorch Dataset/DataLoader design: map/iterable datasets, transforms, custom collate/padding, worker seeding/sharding, num_workers/pin_memory/prefetch_factor, caching, memmap/shared memory, batching by size, profiling, and performance tuning.
10.00 60 pts Medium 98 torch.utils.data.dataset pytorch dataset +7
Chapter 02 - Numeric Python
This problem set covers key concepts from Chapter 2: Vectors, Matrices, and Multidimensional Arrays. The problems test understanding of NumPy array fundamentals, including array creation, indexing, slicing, operations, and vectorized computing. Each question is designed to reinforce the core concepts presented in the chapter.
5.00 26 pts Medium 97 numpy-arrays array-attributes shape +7
USAAIO 2025 R1P3 - Logistic Regression Implementation
This problem focuses on implementing logistic regression from scratch using the Titanic dataset. You will work through data pre-processing, mathematical derivations, and implement both gradient descent and Newton's method for logistic regression. The dataset contains passenger information from the Titanic, and your goal is to predict survival based on various features.
10.00 48 pts Easy 93 data-loading pandas data-exploration +7
USAAIO 2025 R1P2 - Basics of Neural Network - From Linear Regression to DNN Training
This problem is about the basics of neural network. Each part has its particular purpose to intentionally test you something. Do not attempt to find a shortcut to circumvent the rule. And all coding tasks shall run on CPUs, **not GPUs**.
10.00 36 pts Easy 96 learning-rate-scheduler pytorch optimization +12
USAAIO 2025 R1P1 - Fibonacci Matrix Form
Let us consider the following sequence: $$ F_n = F_{n-1} + F_{n-2},\ \forall\ n \ge 2. $$
8.00 27 pts Medium 96 fibonacci sequence linear algebra matrix form +7
IAIO 2024 Part 2 - Machine Learning Algorithms and Deep Learning
This problem covers the remaining categories of the 2024 International Artificial Intelligence Olympiad (IAIO), focusing on machine learning algorithms and deep learning. You'll work through practical implementations of k-means clustering, deep learning architectures, and advanced machine learning theory including kernel methods and the Perceptron algorithm. The problems cover: - K-means clustering algorithm implementation and convergence - Deep learning architectures (DALL-E, Transformers) - Perceptron algorithm and kernel methods - Mathematical proofs and theoretical analysis - Parameter counting and computational complexity
10.00 44 pts Hard 99 k-means clustering euclidean distance machine learning +7

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Featured PDFs

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Cover of System Design Interview: An Insider's Guide Volume 2
System Design Interview: An Insider's Guide Volume 2
116 questions 348 pts
Cover of System Design Interview: An Insider's Guide
System Design Interview: An Insider's Guide
108 questions 317 pts
Cover of UNICALLI: A UNIFIED DIFFUSION FRAMEWORK FOR COLUMN-LEVEL GENERATION AND RECOGNITION OF CHINESE CALLIGRAPHY
UNICALLI: A UNIFIED DIFFUSION FRAMEWORK FOR COLUMN-LEVEL GENERATION AND RECOGNITION OF CHINESE CALLIGRAPHY
10 questions 38 pts
Cover of The Principles of Deep Learning Theory
The Principles of Deep Learning Theory
107 questions 418 pts

Featured Books

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Cover of Acing the System Design Interview
Acing the System Design Interview
153 questions 456 pts
Cover of Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
190 questions 543 pts
Cover of Hands-On Machine Learning with Scikit-Learn and PyTorch
Hands-On Machine Learning with Scikit-Learn and PyTorch
200 questions 554 pts
Cover of Deep Reinforcement Learning Hands-On - Third Edition
Deep Reinforcement Learning Hands-On - Third Edition
222 questions 720 pts

Featured Videos

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Cover of Flow-Matching vs Diffusion Models explained side by side
Flow-Matching vs Diffusion Models explained side by side
10 questions 29 pts
Cover of Attention in transformers, step-by-step | Deep Learning Chapter 6
Attention in transformers, step-by-step | Deep Learning Chapter 6
10 questions 30 pts
Cover of Knowledge Distillation: How LLMs train each other
Knowledge Distillation: How LLMs train each other
10 questions 27 pts
Cover of Diffusion Model
Diffusion Model
10 questions 32 pts