Learn & Prepare

Learn System Design & LLD Concepts

Comprehensive guides and theory to master system architecture, design patterns, and algorithms

System Design Guides

13 Guides

Complete architecture guides for designing large-scale distributed systems

WhatsAppNetflixUberAmazonYouTube
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LLD Design Patterns

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Learn SOLID principles, design patterns, and object-oriented design

FactoryObserverStrategySingleton
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DSA Learning Path

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Topic-wise DSA concepts with examples and practice problems

ArraysRecursionTreesDynamic Programming

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Frequently Asked Questions

Everything You Need to Know

Get answers to common questions about mock interviews, system design, DSA, and interview preparation

Mock Interviews

InstaMock is an AI-powered mock interview platform that simulates real technical interviews. Our AI interviewer conducts realistic interviews for System Design (HLD), Low Level Design (LLD), Data Structures & Algorithms (DSA), and Behavioral rounds. You get real-time feedback, live scoring, and detailed performance reports to help you prepare for your dream job at top tech companies.
Our AI interviewer uses advanced natural language processing to conduct realistic interviews. You speak naturally through your microphone, and the AI responds just like a real interviewer would. It asks follow-up questions, challenges your assumptions, and provides hints when needed. After the interview, you receive a comprehensive performance report with scores across multiple criteria.
Yes! InstaMock offers 5 free mock interviews to all users. You can practice HLD, LLD, DSA, or Behavioral interviews without any payment. For unlimited access and premium features like detailed analytics and personalized improvement plans, you can upgrade to our premium plans.
InstaMock offers four types of mock interviews: 1) High Level Design (HLD) - System design interviews covering distributed systems, scalability, and architecture. 2) Low Level Design (LLD) - Object-oriented design and code architecture. 3) DSA - Data Structures & Algorithms coding problems. 4) Behavioral - Leadership principles and situational interview questions.
Each mock interview session is 45 minutes, simulating real interview conditions at top tech companies. This includes time for problem discussion, solution design, follow-up questions, and a brief Q&A session at the end.

System Design (HLD)

A High Level Design (HLD) interview, also known as System Design interview, tests your ability to design large-scale distributed systems. You'll be asked to design systems like WhatsApp, Netflix, Uber, or Twitter. The interview evaluates your understanding of scalability, availability, consistency, databases, caching, load balancing, and microservices architecture.
To prepare for System Design interviews: 1) Learn fundamental concepts like CAP theorem, load balancing, caching, database sharding, and microservices. 2) Practice designing popular systems (WhatsApp, Netflix, Uber, etc.). 3) Understand trade-offs between different architectural choices. 4) Practice with AI mock interviews on InstaMock to get real-time feedback on your design approach.
InstaMock offers 21+ System Design questions including: Design WhatsApp, Design Netflix, Design Uber, Design Twitter, Design Instagram, Design Amazon, Design URL Shortener, Design Rate Limiter, Design Notification System, Design Payment System, Design Spotify, Design YouTube, Design Dropbox, Design Google Maps, and many more.
HLD (High Level Design) focuses on overall system architecture - components, their interactions, data flow, scalability, and infrastructure. LLD (Low Level Design) focuses on detailed class design, object-oriented principles, design patterns, and actual code structure. HLD answers "what components do we need?" while LLD answers "how do we implement each component?"
For FAANG System Design interviews: 1) Master distributed systems concepts. 2) Practice 15-20 common system design problems. 3) Learn to communicate your design clearly. 4) Use InstaMock's AI mock interviews to simulate real FAANG interview conditions. 5) Review feedback and iterate on your approach. Companies like Google, Meta, Amazon, and Netflix heavily emphasize system design skills.

Low Level Design (LLD)

Low Level Design (LLD) interview tests your ability to design object-oriented systems with clean, maintainable code. You'll design systems like Parking Lot, Elevator System, Chess Game, or Library Management System. The interview evaluates your understanding of SOLID principles, design patterns, class relationships, and code organization.
LLD interviews cover: Object-Oriented Programming (OOP) concepts, SOLID principles (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion), Design Patterns (Singleton, Factory, Observer, Strategy, etc.), UML diagrams, class relationships (inheritance, composition, aggregation), and code structure best practices.
To prepare for LLD interviews: 1) Master OOP concepts and SOLID principles. 2) Learn common design patterns and when to use them. 3) Practice designing systems like Parking Lot, Elevator, ATM, Snake Game. 4) Focus on writing clean, extensible code. 5) Practice explaining your design decisions clearly during InstaMock mock interviews.
Common LLD interview questions include: Design Parking Lot, Design Elevator System, Design Library Management System, Design Snake and Ladder Game, Design Chess, Design ATM Machine, Design Hotel Booking System, Design Movie Ticket Booking (BookMyShow), Design Splitwise, and Design Food Ordering System.

Data Structures & Algorithms (DSA)

DSA (Data Structures & Algorithms) interview tests your problem-solving and coding skills. You'll solve algorithmic problems involving arrays, strings, linked lists, trees, graphs, dynamic programming, and more. The interview evaluates your ability to write efficient, bug-free code and analyze time/space complexity.
To prepare for DSA interviews: 1) Master fundamental data structures (arrays, linked lists, trees, graphs, heaps). 2) Learn common algorithms (sorting, searching, BFS, DFS, dynamic programming). 3) Practice 100-200 problems on different topics. 4) Focus on time and space complexity analysis. 5) Practice coding under time pressure with InstaMock AI interviews.
Key DSA topics for interviews: Arrays & Strings (Two Sum, Sliding Window), Binary Search, Linked Lists (reversal, cycle detection), Trees & BST (traversals, LCA), Graphs (BFS, DFS, shortest path), Dynamic Programming (1D & 2D DP), Stack & Queue, Heap/Priority Queue, Backtracking, and Greedy Algorithms.
For FAANG-level interviews, aim to solve 150-200 quality problems covering all major topics. Focus on understanding patterns rather than memorizing solutions. Categories to cover: 30+ Array/String problems, 20+ Tree problems, 15+ Graph problems, 25+ DP problems, 15+ Binary Search, and 10+ problems each for Stack, Heap, and Backtracking.
Best practices for DSA preparation: 1) Start with easy problems and gradually increase difficulty. 2) Learn patterns (sliding window, two pointers, BFS/DFS). 3) Code without IDE help first. 4) Analyze time/space complexity for every solution. 5) Practice explaining your approach aloud. 6) Use InstaMock for timed mock interviews to simulate real conditions.

FAANG Interview Preparation

For Google interviews: 1) Master DSA - Google asks 2-3 coding rounds with medium to hard problems. 2) Practice System Design - senior roles require designing Google-scale systems. 3) Prepare for Behavioral using Googleyness principles. 4) Expect 4-5 interview rounds including phone screen. 5) Practice with InstaMock to get comfortable with the interview format.
For Amazon interviews: 1) Master the 16 Leadership Principles - every question relates to them. 2) Prepare STAR format stories for behavioral questions. 3) Practice coding with focus on optimal solutions. 4) System Design is crucial for SDE-2 and above. 5) Expect Online Assessment + 4-5 onsite rounds (Loop).
For Meta interviews: 1) Strong focus on coding - expect 2 coding rounds with 2 problems each. 2) System Design for E5 and above. 3) Behavioral round focusing on Meta values. 4) 45-minute coding rounds with emphasis on speed and accuracy. 5) Practice on InstaMock to improve your coding speed and communication.
Typical FAANG interview process: 1) Online Assessment or Recruiter Call. 2) Phone/Video Technical Screen (1-2 coding problems). 3) Onsite/Virtual Onsite (4-6 rounds) including Coding, System Design, and Behavioral. 4) Hiring Committee Review. 5) Team Matching. 6) Offer. The entire process takes 4-8 weeks.
Preparation time depends on your current level: Beginners need 6-12 months of consistent practice. Intermediate developers need 3-6 months. Experienced developers may need 1-3 months of focused preparation. Aim for 2-3 hours of daily practice covering DSA, System Design, and behavioral questions.

Platform Features

InstaMock's AI provides multi-dimensional feedback: 1) Real-time scoring during the interview. 2) Detailed performance report after each session. 3) Strengths and areas for improvement. 4) Specific suggestions for better answers. 5) Comparison with ideal solutions. 6) Topic-wise analysis to identify weak areas.
Yes! InstaMock allows you to: 1) Choose specific interview types (HLD, LLD, DSA, Behavioral). 2) Select questions by topic (Arrays, Trees, Graphs, etc.). 3) Filter by difficulty (Easy, Medium, Hard). 4) Practice specific system design questions (WhatsApp, Netflix, Uber, etc.). 5) Focus on weak areas identified in previous sessions.
To use InstaMock, you need: 1) A computer with a modern web browser (Chrome, Firefox, Edge, Safari). 2) A working microphone for voice interviews. 3) Stable internet connection. 4) Optionally, a webcam for video recording of your sessions. No additional software installation is required.
Yes! InstaMock saves all your interview sessions. You can: 1) Review transcripts of your conversations. 2) See your scores and feedback. 3) Track improvement over time. 4) Compare performance across different topics. 5) Download performance reports for personal reference.
Absolutely! InstaMock is designed for all skill levels: 1) Beginners can start with easy problems and get guided feedback. 2) The AI adapts its questioning based on your responses. 3) Detailed explanations help you learn from mistakes. 4) Practice mode available for learning before formal mock interviews. 5) Topic-wise preparation guides for structured learning.

Interview Tips

Effective communication in technical interviews: 1) Think aloud - share your thought process. 2) Ask clarifying questions before coding. 3) Discuss trade-offs in your approach. 4) Walk through your solution with examples. 5) Mention time and space complexity. 6) Be open to hints and feedback. Practice this with InstaMock's AI interviewer.
Common interview mistakes: 1) Jumping into coding without understanding the problem. 2) Not asking clarifying questions. 3) Ignoring edge cases. 4) Poor time management. 5) Not testing your code. 6) Being defensive about feedback. 7) Not practicing enough mock interviews before the real thing.
To manage interview anxiety: 1) Practice extensively with mock interviews to build confidence. 2) Prepare a consistent warm-up routine. 3) Focus on the problem, not the outcome. 4) Take deep breaths when stuck. 5) Remember that interviewers want you to succeed. 6) Use InstaMock to simulate real conditions and reduce anxiety.
When stuck in an interview: 1) Don't panic - take a moment to think. 2) Verbalize what you're thinking and where you're stuck. 3) Try a brute force approach first. 4) Think about similar problems you've solved. 5) Ask for hints - interviewers expect this. 6) Break down the problem into smaller parts.

Related Topics

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