5 Quizzes with 20 Questions Each, with Detailed Explanations, Illustrations and References
β 3.89/5 rating
π₯ 898 students
π May 2021 update
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- Course Overview
- This intensive course, “System Design: 100 Job Interview Questions,” is meticulously crafted to equip aspiring and seasoned software engineers with the knowledge and frameworks essential for excelling in the most challenging system design interviews. The curriculum is structured around a comprehensive set of 100 real-world interview questions, presenting practical scenarios demanding thoughtful, scalable, and resilient architectural solutions. It delves into the intricate process of designing complex distributed systems, covering everything from initial requirements gathering to proposing detailed, technically sound implementations. The course emphasizes developing a systematic approach to tackle open-ended design problems, enabling learners to articulate their reasoning clearly, evaluate trade-offs effectively, and present robust solutions under pressure, mirroring the high-stakes environment of a technical interview. Five rigorous quizzes, each comprising 20 unique questions, coupled with exhaustive explanations, insightful illustrations, and pertinent references, ensure a deep and practical understanding of core system design principles.
- Requirements / Prerequisites
- While no strict formal prerequisites exist, participants will derive maximum benefit with a foundational understanding of:
- Basic Programming Proficiency: Familiarity with at least one modern programming language and a solid grasp of fundamental data structures and algorithms, crucial for understanding implementation details.
- Conceptual Software Development Knowledge: Awareness of the software development lifecycle, common engineering paradigms, and object-oriented design principles.
- Computer Networking Basics: Concepts like HTTP/HTTPS, TCP/IP, DNS, and load balancing mechanisms.
- Database Fundamentals: General knowledge of relational databases (SQL) and an introduction to NoSQL databases, including indexing, ACID properties, and basic query optimization.
- Problem-Solving Aptitude: A keen interest in how large-scale systems are built, operate, and scale, coupled with a proactive approach to dissecting complex technical challenges.
- No prior expert-level distributed systems experience is required, as the course builds expertise through practical problem-solving.
- While no strict formal prerequisites exist, participants will derive maximum benefit with a foundational understanding of:
- Skills Covered / Tools Used
- This course hones a broad spectrum of critical skills essential for top-tier software engineering roles, focusing on practical application rather than specific tool mastery (though conceptual use is discussed):
- System Architecture & Design Patterns:
- High-Level & Low-Level Design: Developing architectural blueprints and deep diving into component designs, data models, and API specifications.
- Architectural Styles: Understanding and applying monolithic, microservices, service-oriented (SOA), event-driven, and serverless computing paradigms, including their trade-offs.
- Scalability & Performance Engineering:
- Scaling Strategies: Horizontal vs. Vertical scaling; effective load balancing techniques.
- Caching Implementations: Various caching layers (CDN, client-side, server-side, database) for reduced latency and improved throughput; cache invalidation.
- Database Sharding & Partitioning: Distributing data across instances for enhanced performance and manageability.
- Asynchronous Processing: Utilizing message queues (e.g., Kafka) and background jobs for decoupling components and improving responsiveness.
- Reliability, Availability & Fault Tolerance:
- Redundancy & Replication: Designing systems with duplicate components for continuous operation.
- Disaster Recovery: Strategies for data backup, restore, and multi-region deployments.
- Observability: Importance of monitoring and alerting for quick detection and response to anomalies.
- Resilient Patterns: Implementing circuit breakers and retries to prevent cascading failures.
- Data Storage & Management:
- Database Selection: Evaluating and choosing appropriate data stores (Relational SQL, various NoSQL types) based on use cases and consistency.
- CAP Theorem: Understanding its implications for distributed data systems.
- Indexing & Query Optimization: Strategies to improve database read performance.
- API Design & Communication Protocols:
- RESTful APIs: Principles and best practices for designing stateless, resource-oriented APIs.
- gRPC & Message Queues: When to use high-performance RPC frameworks or asynchronous messaging for inter-service communication, including idempotency.
- Interview Communication & Problem-Solving Frameworks:
- Requirements Clarification: Asking effective questions to scope problems thoroughly.
- Trade-off Analysis: Articulating pros and cons of different design choices with justification.
- Whiteboard Diagramming: Effectively communicating architectural designs visually and concisely.
- Complexity Analysis: Applying Big O notation to system components for performance and resource evaluation.
- System Architecture & Design Patterns:
- This course hones a broad spectrum of critical skills essential for top-tier software engineering roles, focusing on practical application rather than specific tool mastery (though conceptual use is discussed):
- Benefits / Outcomes
- Upon completion, participants will emerge with an enhanced skill set and a robust strategic advantage:
- Interview Confidence: Approach system design questions with a structured methodology, clarity, and assurance, proposing well-reasoned solutions.
- Advanced Architectural Thinking: Develop the ability to envision, plan, and design scalable, reliable, and maintainable software systems from first principles.
- Effective Communication: Master articulating complex technical designs, trade-offs, and decisions clearly and concisely to diverse stakeholders.
- Informed Decision-Making: Gain a deep understanding of the pros and cons of different architectural patterns and technologies, making choices aligned with business goals.
- Problem Decomposition Mastery: Learn to systematically deconstruct ambiguous, large-scale design problems into manageable components.
- Career Advancement: Significantly boost prospects for securing roles at leading tech companies emphasizing strong system design capabilities (e.g., Staff Engineer, Architect).
- Practical Application Focus: Move beyond theoretical knowledge to practical, implementable solutions, reinforced by detailed explanations and real-world scenarios.
- Upon completion, participants will emerge with an enhanced skill set and a robust strategic advantage:
- PROS
- Highly Practical Interview Focus: Directly addresses the core challenge of system design interviews with 100 dedicated questions.
- Comprehensive Explanations & Visual Aids: Benefits from detailed explanations, insightful illustrations, and valuable references.
- Structured Learning with Quizzes: Five challenging quizzes provide excellent self-assessment and reinforce learning through active recall.
- Strong Community Endorsement: Backed by a high rating (3.89/5) from a large student base (898 students), indicating proven value and effectiveness.
- Regularly Updated Content: The May 2021 update ensures material remains relevant to current industry practices and interview trends.
- CONS
- Pacing Requires Self-Discipline: As an interview prep course, it demands consistent self-study and practice beyond the provided materials to fully internalize concepts and adapt them to novel problems. Deep dives into specific technologies might be limited, focusing more on high-level design principles.
Learning Tracks: English,IT & Software,Other IT & Software
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