Data Structures and Algorithms
- Introduction to Data Structures and Algorithms
- Time and Space Complexity Analysis
- Big-O, Big-Theta, and Big-Omega Notations
- Recursion and Backtracking
- Divide and Conquer Algorithm
- Dynamic Programming: Memoization vs. Tabulation
- Greedy Algorithms and Their Use Cases
- Understanding Arrays: Types and Operations
- Linear Search vs. Binary Search
- Sorting Algorithms: Bubble, Insertion, Selection, and Merge Sort
- QuickSort: Explanation and Implementation
- Heap Sort and Its Applications
- Counting Sort, Radix Sort, and Bucket Sort
- Hashing Techniques: Hash Tables and Collisions
- Open Addressing vs. Separate Chaining in Hashing
- DSA Questions for Beginners
- Advanced DSA Questions for Competitive Programming
- Top 10 DSA Questions to Crack Your Next Coding Test
- Top 50 DSA Questions Every Programmer Should Practice
- Top Atlassian DSA Interview Questions
- Top Amazon DSA Interview Questions
- Top Microsoft DSA Interview Questions
- Top Meta (Facebook) DSA Interview Questions
- Netflix DSA Interview Questions and Preparation Guide
- Top 20 DSA Interview Questions You Need to Know
- Top Uber DSA Interview Questions and Solutions
- Google DSA Interview Questions and How to Prepare
- Airbnb DSA Interview Questions and How to Solve Them
- Mobile App DSA Interview Questions and Solutions
DSA Interview Questions
- DSA Questions for Beginners
- Advanced DSA Questions for Competitive Programming
- Top 10 DSA Questions to Crack Your Next Coding Test
- Top 50 DSA Questions Every Programmer Should Practice
- Top Atlassian DSA Interview Questions
- Top Amazon DSA Interview Questions
- Top Microsoft DSA Interview Questions
- Top Meta (Facebook) DSA Interview Questions
- Netflix DSA Interview Questions and Preparation Guide
- Top 20 DSA Interview Questions You Need to Know
- Top Uber DSA Interview Questions and Solutions
- Google DSA Interview Questions and How to Prepare
- Airbnb DSA Interview Questions and How to Solve Them
- Mobile App DSA Interview Questions and Solutions
Data Structures and Algorithms
- Introduction to Data Structures and Algorithms
- Time and Space Complexity Analysis
- Big-O, Big-Theta, and Big-Omega Notations
- Recursion and Backtracking
- Divide and Conquer Algorithm
- Dynamic Programming: Memoization vs. Tabulation
- Greedy Algorithms and Their Use Cases
- Understanding Arrays: Types and Operations
- Linear Search vs. Binary Search
- Sorting Algorithms: Bubble, Insertion, Selection, and Merge Sort
- QuickSort: Explanation and Implementation
- Heap Sort and Its Applications
- Counting Sort, Radix Sort, and Bucket Sort
- Hashing Techniques: Hash Tables and Collisions
- Open Addressing vs. Separate Chaining in Hashing
- DSA Questions for Beginners
- Advanced DSA Questions for Competitive Programming
- Top 10 DSA Questions to Crack Your Next Coding Test
- Top 50 DSA Questions Every Programmer Should Practice
- Top Atlassian DSA Interview Questions
- Top Amazon DSA Interview Questions
- Top Microsoft DSA Interview Questions
- Top Meta (Facebook) DSA Interview Questions
- Netflix DSA Interview Questions and Preparation Guide
- Top 20 DSA Interview Questions You Need to Know
- Top Uber DSA Interview Questions and Solutions
- Google DSA Interview Questions and How to Prepare
- Airbnb DSA Interview Questions and How to Solve Them
- Mobile App DSA Interview Questions and Solutions
DSA Interview Questions
- DSA Questions for Beginners
- Advanced DSA Questions for Competitive Programming
- Top 10 DSA Questions to Crack Your Next Coding Test
- Top 50 DSA Questions Every Programmer Should Practice
- Top Atlassian DSA Interview Questions
- Top Amazon DSA Interview Questions
- Top Microsoft DSA Interview Questions
- Top Meta (Facebook) DSA Interview Questions
- Netflix DSA Interview Questions and Preparation Guide
- Top 20 DSA Interview Questions You Need to Know
- Top Uber DSA Interview Questions and Solutions
- Google DSA Interview Questions and How to Prepare
- Airbnb DSA Interview Questions and How to Solve Them
- Mobile App DSA Interview Questions and Solutions
How JavaScript Event Loop Works: The Interviewer’s Favorite Questions
JavaScript is one of the most essential programming languages in modern web development. Whether you’re working on front-end interactivity or server-side code, understanding the internal workings of JavaScript, particularly the Event Loop, is crucial. For developers, mastering the Event Loop is not only important for building efficient applications but also a key area of focus during interviews at top tech companies like Google, Amazon, and Atlassian.
If you’re preparing for interviews or simply want to enhance your JavaScript skills, sign up for our free courses and get the latest updates on our exclusive content. Our courses on Data Structures and Algorithms (DSA) and Web Development will give you the knowledge to tackle these advanced concepts in depth.
Top 20 JavaScript Event Loop Interview Questions
1. What is the JavaScript Event Loop, and How Does it Function?
The JavaScript Event Loop is a mechanism that enables JavaScript to perform non-blocking operations despite being single-threaded. The Event Loop manages asynchronous code such as timers, network requests, and user interaction handling, allowing the main execution thread to continue running smoothly.
The Event Loop continuously checks the call stack. If it’s empty, it processes events from the event queue, executing their corresponding callback functions.
Example:
console.log("Start");
setTimeout(() => {
console.log("Inside setTimeout");
}, 0);
console.log("End");
Output:
Start
End
Inside setTimeout
In this example, the setTimeout callback is added to the event queue and executed after the synchronous tasks finish, even though the delay is set to 0ms.
2. Can You Explain the Difference Between the Call Stack and the Event Queue?
Call Stack:
The Call Stack is a data structure that stores function calls during JavaScript execution. It follows the LIFO (Last In, First Out) model, where the most recently called function is executed first.
Event Queue:
The Event Queue holds tasks that are ready to be executed, such as user events (clicks, keystrokes), timers, and asynchronous operations. These tasks are executed in order once the call stack is empty.
console.log("Start");
setTimeout(() => {
console.log("Timeout");
}, 1000);
console.log("End");
3. What Are the Different Phases of the Event Loop?
The Event Loop operates through several phases:
– Timers Phase:
Handles callbacks for setTimeout and setInterval.
– I/O Callbacks Phase:
Handles most callbacks, excluding timers.
– Idle, Prepare Phase:
Internal preparation operations for the Event Loop.

– Poll Phase:
Checks for new I/O events and executes their callbacks.
– Check Phase:
Executes setImmediate callbacks.
– Close Callbacks Phase:
Final cleanup for events like close.
4. How Does JavaScript Handle Asynchronous Code Using setTimeout and setInterval?
Both setTimeout and setInterval are used to schedule code execution after a delay or at regular intervals. These functions do not execute immediately; instead, they are placed in the event queue and executed after the call stack is clear.
Example:
console.log("Start");
setTimeout(() => {
console.log("Inside setTimeout");
}, 0);
setInterval(() => {
console.log("Inside setInterval");
}, 500);
console.log("End");
5. What is the Difference Between the Microtask Queue and the Macrotask Queue?
Microtask Queue:
The Microtask Queue includes tasks such as resolved promises and MutationObserver callbacks. These tasks have higher priority and are executed before macrotasks.
Macrotask Queue:
The Macrotask Queue includes I/O tasks, timers, and events like setTimeout. Macrotasks are executed after all microtasks have been processed.
6. How Are Promises Handled by the Event Loop?
When a promise is resolved or rejected, its .then() handler is added to the microtask queue. The Event Loop processes all microtasks before moving on to macrotasks.
console.log("Start");
Promise.resolve().then(() => {
console.log("Promise resolved");
});
console.log("End");
Output:
Start
End
Promise resolved
7. What Happens When a Promise Resolves Immediately After a Synchronous Operation?
Even though a promise resolves immediately after a synchronous operation, its handler is added to the microtask queue. The promise will execute only after the current execution context is finished.
8. What is the Execution Order When setTimeout, a Promise, and Synchronous Code are Combined?
The execution follows this sequence:
- Synchronous Code: Executes first.
- Microtasks (Promises): Execute next.
- Macrotasks (setTimeout): Execute last.
console.log(“Start”);
setTimeout(() => {
console.log("Inside setTimeout");
}, 0);
Promise.resolve().then(() => {
console.log("Promise resolved");
});
console.log("End");
Output:
Start
End
Promise resolved
Inside setTimeout

9. What Happens if the Call Stack is Blocked for a Long Time?
If the Call Stack is blocked by long-running synchronous tasks, the Event Loop cannot process other events, resulting in a frozen or unresponsive UI. It’s essential to break long-running tasks into smaller parts to keep the UI responsive.
10. How Does the Event Loop Prioritize Callbacks from Different Sources (e.g., setTimeout vs. Promises)?
The Event Loop prioritizes microtasks (like promises) over macrotasks (like setTimeout). Even with a 0ms delay, promise callbacks will execute before setTimeout.
11. What is the Role of setImmediate vs setTimeout in Node.js?
- setImmediate: Executes after the current event loop cycle, in the Check Phase.
- setTimeout: Executes after the specified delay in the Timers Phase.
In Node.js, setImmediate is preferred for tasks that should execute after I/O operations, while setTimeout is used for introducing delays.
12. How Does JavaScript Handle Multiple setTimeout Callbacks with Different Delays?
Each setTimeout call is added to the macrotask queue. The callbacks execute according to their delay times, with the Event Loop managing their order.
13. What is the Starvation Problem in the Event Loop, and How Does the Event Loop Handle It?
Starvation occurs when high-priority tasks (like UI updates) consistently block low-priority tasks (like I/O operations). The Event Loop aims to balance tasks and ensures that both macrotasks and microtasks are handled in a timely manner.
14. What is the Purpose of requestAnimationFrame, and How Does It Differ from Other Timers?
requestAnimationFrame schedules a callback function just before the next screen repaint, making it ideal for smoother animations. It aligns with the browser’s refresh rate, outperforming setTimeout and setInterval.
15. How Do Web Workers Interact with the Event Loop in JavaScript?
Web Workers run on a separate thread, so they don’t block the Event Loop. They allow long-running tasks to execute in the background while the main thread continues processing other tasks.
16. What Happens if There is an Error Inside an Asynchronous Callback?
Errors inside asynchronous callbacks do not throw exceptions directly into the Call Stack. To handle errors, use try-catch within promises or listen for global exceptions in Node.js.
17. How Does the Event Loop Prevent Blocking from I/O-bound Tasks?
The Event Loop handles I/O-bound tasks asynchronously. When an I/O task (like a file read or network request) is initiated, JavaScript doesn’t block the thread, allowing other tasks to continue executing.

18. What Are the Performance Implications of a Long-running Synchronous Task in the Event Loop?
A long-running synchronous task blocks the Event Loop, leading to delays in the processing of other tasks. It’s essential to break such tasks into smaller pieces or use Web Workers to keep the application responsive.
19. How Does the Event Loop Handle Deferred Tasks and Priority Queueing?
The Event Loop processes microtasks before macrotasks, ensuring that deferred tasks, like promises, are handled first. This allows the system to prioritize tasks that don’t require delays.
20. What Is the Impact of Blocking Code on the Responsiveness of an Application in JavaScript?
Blocking code prevents the Event Loop from processing other tasks, which can cause the application to become unresponsive. It’s important to ensure heavy computations are asynchronous or split into smaller tasks.

Conclusion
Mastering the JavaScript Event Loop is crucial for efficient, high-performance web applications. Whether you’re preparing for interviews or optimizing your code, understanding how the Event Loop handles asynchronous tasks, processes timers, and manages promises will enable you to write non-blocking, optimized code.
For more in-depth learning, consider exploring our Data Science course and Master DSA & Web Development to further refine your programming skills and enhance your technical knowledge.
Frequently Asked Questions (FAQs)
What is the primary role of the JavaScript Event Loop?
The Event Loop enables asynchronous operations to run without blocking the main thread, maintaining non-blocking behavior in JavaScript.
How does the Event Loop handle asynchronous operations?
Asynchronous operations, such as setTimeout or promises, are placed in the event queue. The Event Loop processes these tasks once the call stack is empty.
What is the difference between microtasks and macrotasks in the Event Loop?
Microtasks (e.g., promises) have higher priority and are executed first. Macrotasks (e.g., setTimeout) run after all microtasks are completed.
What happens if the Event Loop is blocked?
Blocking the Event Loop with long-running synchronous code prevents the execution of other tasks, leading to performance issues and unresponsiveness.
How can I optimize performance in the Event Loop?
Avoid blocking the Event Loop with long synchronous tasks, use requestAnimationFrame for animations, and utilize Web Workers for heavy computations.

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