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Node Js Interview Questions For 2 Year Experience

Web Design And Development

Node Js Interview Questions For 2 Year Experience

node.js Interview Questions for 2 Years of Experience

Node Js Interview Questions For 2 Year Experience

For a Node.js interview targeting candidates with two years of experience, common questions can include topics such as key features and benefits of Node.js, understanding event-driven programming, asynchronous programming with callbacks and Promises, knowledge of Node.js modules, familiarity with Express.js framework, handling npm packages, debugging techniques, performance optimization, security considerations, RESTful APIs, understanding of database interactions with Node.js (like MongoDB and Mongoose), and deployment strategies. Additionally, questions on error handling, unit testing with frameworks such as Mocha and Chai, knowledge of ES6 features, and a practical understanding of JavaScript concepts are often asked to assess the candidate's proficiency and ability to work effectively with Node.js in real-world scenarios.

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1 - Explain the event driven architecture of Node.js: Node.js operates on a single threaded event loop model, enabling non blocking I/O operations and supporting concurrent connections without the need for multiple threads. It utilizes callbacks to handle asynchronous operations and events are emitted when certain actions occur, allowing developers to respond accordingly.

2) Discuss the difference between setImmediate() and setTimeout() in Node.js: setImmediate() executes a callback function immediately after the current poll phase, whereas setTimeout() schedules the execution of the callback function after a specified delay. In scenarios where performance is critical, setImmediate() is preferred as it will be executed before any I/O event callbacks scheduled with setTimeout().

3) How does npm differ from yarn in Node.js? npm is the default package manager for Node.js, while yarn is a package manager developed by Facebook. Yarn focuses on speed, reliability, and consistency in dependency management. Yarn's lockfile ensures consistent installs across different machines, making it a popular choice for managing Node.js dependencies in production environments.

4) Explain the concept of streams in Node.js: Streams are objects that allow the reading or writing of data in chunks, making it memory efficient for handling large amounts of data. There are different types of streams in Node.js, including Readable, Writable, Duplex, and Transform streams. Streams enable pipelining operations and are commonly used for file processing, network communication, and HTTP responses.

5) Describe the role of middleware in Express.js: Middleware functions in Express.js are functions that have access to the request and response objects and can modify them, execute code, end the request response cycle, or call the next middleware function in the stack. Middleware functions play a crucial role in handling tasks such as authentication, logging, error handling, and route specific operations in Express.js applications.

6) How would you handle errors in Node.js applications? Error handling in Node.js involves using try catch blocks for synchronous code and utilizing callback functions or promises for asynchronous operations. Additionally, middleware functions such as error handling middleware in Express.js can be used to centralize error handling logic, ensuring that errors are captured and managed consistently across the application.

7) Discuss the role of package.json in a Node.js project: package.json is a metadata file that contains information about a Node.js project, including dependencies, scripts, version, author, and more. It serves as a configuration file for npm to manage project dependencies, run scripts, define project metadata, and specify project settings. Package.json is essential for maintaining project dependencies and ensuring consistency in the development environment.

8) How can you improve the performance of a Node.js application? Performance optimization in Node.js involves various strategies, such as implementing efficient algorithms, caching data, utilizing worker threads or clustering for multi core systems, optimizing database queries, using asynchronous operations, and monitoring application performance with tools like profiling, load testing, and code profiling. Additionally, leveraging caching mechanisms, CDN services, and implementing scaling strategies can further enhance the performance of Node.js applications.

 

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