System Design Interview Preparation using ChatGPT
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- Curriculum
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In this focused, 60-minute course, you’ll quickly learn essential strategies for tackling system design interviews and boosting your career prospects. We’ll concentrate on the crucial aspects of designing complex systems, emphasizing balancing business fundamentals with technical expertise.
The course will cover critical aspects of system design interviews, including understanding the problem domain, product purpose, and interviewer expectations. Through a targeted approach, you’ll learn to shape your answers, identify knowledge gaps, and practice using real-world examples, such as designing an AI-powered search engine.
We’ll explore a conversational approach to system design, helping you engage in productive dialogues with your interviewer. You’ll learn to apply your expertise in algorithms, data structures, domain knowledge, and infrastructure to navigate the conversation effectively.
Throughout the course, you’ll work on hands-on assignments that reinforce your learning:
- Problem Domain Exploration: Analyze a given problem statement, identify critical components, and draft relevant questions to clarify the requirements.
- Data Modeling Exercise: Design an appropriate data model for a specific system based on the requirements.
- Scalability & Performance: Propose a scaling strategy to handle a rapidly growing user base, addressing potential bottlenecks and challenges.
- Fault Tolerance Considerations: Develop a fault-tolerant system design catering to many concurrent users.
- MVP Design: Design a minimum viable product for a sample problem, focusing on key features and customer needs.
By the end of this 60-minute course, you’ll be better equipped to face system design interviews and confidently tackle complex design challenges. You are encouraged to explore generative AI tools like ChatGPT and BARD to complete your assignments!
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IntroductionIn the introductory lecture, the instructor explains that system-design interviews are abstract and unpredictable compared to coding interviews. The key to approaching these interviews is to view software as a business. The instructor breaks down the components of the software as a business into algorithms, data structures, people, domains, and infrastructure. These elements together form the fundamentals, processes, and purpose of software engineering.
During a system design interview, the focus should be on applying your skills to solve the end user's problem. The course aims to teach how to evolve and address these questions in one's software engineering career. The instructor emphasizes that conversations in an interview or system design should revolve around these three pivots: fundamentals, processes, and purpose. Anything beyond these pillars is a waste of time.
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Quick CheckGetting warmed up for the assignments!
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Course Outline
This lecture will focus on approaching system design from a career and interview perspective. Instead of providing a list of answers, we will guide you through essential questions and discuss the expected premises around the solutions that interviewers might be looking for.
The lecture will emphasize the importance of understanding a product's fundamentals, purpose, and domain, as well as software engineering processes. We will explore how to shape and drive system design conversations and how to divert the conversation in a specific direction.
Throughout the lecture, we will stress the importance of practice and developing a conversational approach to system design. By building a solid foundation in fundamentals, you will be better equipped to handle unexpected questions and adapt your responses accordingly.
Finally, the course will provide references, resources, and insights into commonly encountered systems to help you build a versatile toolkit for shaping system design conversations. This course aims to prepare you for interviews and equip you with valuable skills that will contribute to your success and growth in your current job.
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Shaping a conversation
In this lecture, we emphasize the importance of effectively shaping system design conversations during interviews. The four key topics to focus on in a system design interview are algorithms, data structures, domain, and infrastructure. Keeping the conversation within these boundaries will help you succeed.
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Importance of listening
Remember Stephen Covey's quote: "Most people do not listen with the intent to understand; they listen with the intent to reply."
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States of a system design conversation in an interview
A system-design interview is primarily a conversation between you and the interviewer. It can be broken down into four phases: asking a question, discussing, thinking, and presenting a solution. You should navigate these phases effectively and maintain a clear and focused discussion.
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A primer on shaping system design interview conversations rationally
To succeed in a system design interview, develop conversational solid skills, think in modular terms, and present shorter, modular answers. Keep the conversation moving and change the tempo as needed. Engage in in-depth discussions but avoid spending too much time on one topic, and always work towards finding a working solution.
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Section Quiz
System design interview conversation structure-related quiz.
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Introduction to the system design conversation pivots
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Business and use cases as system design interview pivot
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Business perspective assignment -
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High Level design as pivot of system design interview
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System design assignment
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Low level Design and Data model as a pivot of system design interview
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Realizing the low level design
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Scale as a pivot of system Design interview
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Making design scalable
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Fault tolerance as a pivot of system design interview
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Making system resiliant
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Alogrithms and data structures as a pivot in system design interview
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The absolute fundamentals
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Understand the domain
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Thinking outside the box
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Understand the customer requirements upfront
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Create a requirements pool
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Gauging market size from system design perspective
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Analyzing the competition from system design perspective
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Understanding the success of leader in a domain for system design metrics
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Getting to know the market aspects
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Self learning is the key to growth.
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Getting to know the tool chains
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Mastering debugging
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Learn to debug effectively
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Getting used to analyzing network traffic
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Dive deep into performance
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Learn to simulate and reproduce error
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Learn to measure the cloud metrics
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Start isolating protocol specific network traffic
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Learn reverse engineering designs of products
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Publish your learnings
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Stay curious and keep learning
