Complete-interview-ownnotes

Interview Preparation

This repository contains a collection of interview questions and solutions for various topics related to frontend development, backend development, and data structures & algorithms. Whether you are preparing for technical interviews or want to enhance your problem-solving skills, this repository is designed to help you.

Table of Contents

Frontend
Backend
Data Structures & Algorithms

overview of the main topics related to React, Node.js, Express, MongoDB, and JavaScript in general, as well as Data Structures and Algorithms (DSA) in JavaScript:

JavaScript

Basics of JavaScript:

Variables, Data Types, Operators Control Flow: Conditionals and Loops Functions and Scope Objects and Arrays ES6+ Features: Arrow Functions, Destructuring, Spread/Rest Operator Asynchronous JavaScript:

Callbacks, Promises, Async/Await Handling Asynchronous Operations ES6+ Features:

Classes and Modules Template Literals Promises and Async/Await Arrow Functions Error Handling:

try/catch blocks Handling and Throwing Errors

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React

React Basics:

Components and Props State and Lifecycle Handling Events Conditional Rendering React Router:

Navigation in React Apps State Management:

Context API Redux (Actions, Reducers, Store) Hooks:

useState, useEffect, useContext, etc. Custom Hooks Component Lifecycle:

Mounting, Updating, Unmounting Forms and Controlled Components:

Handling Form Input and Validation Testing in React:

Unit Testing with Jest and React Testing Library

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Node.js and Express

Node.js Basics:

Event Loop File System Operations Modules and npm Express.js:

Middleware Routing Template Engines (optional) RESTful API Design:

CRUD Operations Authentication and Authorization Error Handling Database Integration:

Connecting to MongoDB with Mongoose Performing CRUD Operations Express Middleware:

Creating Custom Middleware

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MongoDB

MongoDB Basics:

Document-based NoSQL databases Collections and Documents CRUD Operations:

Creating, Reading, Updating, and Deleting Documents Indexing and Aggregation:

Optimizing Queries Aggregation Framework Mongoose:

Object Data Modeling in Node.js Schema and Model Definition

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Data Structures and Algorithms (DSA) in JavaScript

Arrays and Strings:

Manipulation, Searching, Sorting Linked Lists:

Singly Linked Lists, Doubly Linked Lists Stacks and Queues:

Basic Operations Trees and Graphs:

Binary Trees, Binary Search Trees Graph Representation, Traversal Sorting Algorithms:

Bubble Sort, Merge Sort, Quick Sort Searching Algorithms:

Binary Search, Linear Search Hashing:

Hash Tables, Collision Resolution Dynamic Programming:

Memoization, Bottom-Up Approach Greedy Algorithms:

Activity Selection, Huffman Coding Big O Notation:

Time and Space Complexity Analysis These topics cover a broad range of skills required for Full Stack JavaScript development and are commonly tested in interviews for roles involving React, Node.js, Express, MongoDB, and general web development.

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Contributing

Feel free to contribute by adding more questions, improving existing solutions, or fixing any issues. Follow the guidelines in CONTRIBUTING.md.