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
Top 30 JavaScript Interview Questions for Frontend Developers in 2025
Whether you’re gearing up for your first frontend role or aiming to level up in a competitive job market, nailing JavaScript interview questions is crucial. These questions often test your foundational knowledge, problem-solving skills, and ability to handle real-world scenarios. To get ahead, sign up for free resources and course updates that can supercharge your preparation.
JavaScript remains the backbone of frontend development, powering interactive web experiences across browsers. In 2025, with the rise of modern frameworks and performance demands, interviewers are focusing on both core concepts and advanced applications. This post draws from real questions asked in interviews at top companies, including FAANG, as reported in sources like InterviewBit and GeeksforGeeks. We’ll break down 30 high-quality questions—more than the typical top 20—to provide in-depth insights, code examples, and explanations. These are curated from actual interview experiences shared on platforms like Dev.to and GreatFrontEnd, ensuring they’re relevant and up-to-date.
If you’re looking to strengthen your overall skills, consider exploring structured learning paths. For instance, if data structures come up in coding rounds, our DSA course offers comprehensive training tailored for developers.
Why JavaScript Matters in Frontend Interviews
JavaScript isn’t just about syntax—it’s about understanding how it interacts with the DOM, handles asynchronous operations, and optimizes performance. According to a 2024 Stack Overflow survey, over 60% of developers use JavaScript daily, making it the most in-demand language for frontend roles. Interviewers at companies like Google and Amazon often probe these areas to assess your ability to build scalable, efficient applications.
In this guide, we’ll categorize questions into basic, intermediate, and advanced levels for easy navigation. Each includes a detailed explanation, code snippets, and tips to articulate your answer confidently. Remember, practice is key—try coding these out yourself.
Basic JavaScript Questions
These foundational questions test your core understanding and are commonly asked to freshers or in initial screening rounds.
1. What are the different data types in JavaScript?
JavaScript features primitive and non-primitive data types. Primitives include string, number, boolean, undefined, null, symbol, and bigint—immutable values passed by value. Non-primitives, like objects and arrays, are mutable and passed by reference.
For example:
let num = 42; // Number (primitive)
let obj = { key: 'value' }; // Object (non-primitive)
console.log(typeof num); // "number"
Understanding this helps in avoiding bugs like unintended mutations in arrays. As per GeeksforGeeks, this is a staple in beginner interviews.
2. Explain hoisting in JavaScript.
Hoisting moves variable and function declarations to the top of their scope. var is initialized to undefined, but let and const enter a temporal dead zone (TDZ), causing errors if accessed early.
Example:
console.log(x); // undefined
var x = 5;
console.log(y); // ReferenceError
let y = 10;

This behavior, highlighted in InterviewBit, can lead to subtle bugs if not managed with strict mode.
3. What’s the difference between == and ===?
== performs loose equality with type coercion, while === checks strict equality without coercion.
Example:
console.log(5 == '5'); // true
console.log(5 === '5'); // false
Dev.to emphasizes using === to prevent unexpected results in frontend logic.
4. Difference between var, let, and const.
var is function-scoped and redeclarable; let and const are block-scoped. const can’t be reassigned, but its contents can mutate if an object. Table for clarity:
Keyword | Scope | Reassignable | Redeclarable |
var | Function | Yes | Yes |
let | Block | Yes | No |
const | Block | No | No |
From freeCodeCamp, this tests ES6 knowledge.
5. What is the DOM?
The Document Object Model (DOM) is a tree representation of HTML, allowing JavaScript to manipulate page structure dynamically. Example: document.getElementById(‘elem’).innerHTML = ‘New Text’;. GeeksforGeeks notes it’s essential for interactive UIs.
6. Difference between null and undefined.
undefined means a variable is declared but uninitialized; null is an intentional absence of value. Example: let a; console.log(a); // undefined let b = null;. Both equal with == but not ===.
7. What is implicit type coercion?
JavaScript automatically converts types during operations, like 5 + ‘5’ = ’55’. Avoid pitfalls by using strict checks, as advised in InterviewBit.
8. Explain the ‘this’ keyword.
this refers to the context of execution. In methods, it points to the object; globally, to window. Arrow functions lexically bind this. Example from freeCodeCamp.
9. What is event bubbling?
Events propagate from child to parent elements. Use event.stopPropagation() to halt. Crucial for event delegation in large apps.
10. What is NaN?
Not-a-Number, a special number value from invalid operations like 0/0. Check with isNaN().
Intermediate JavaScript Questions
These delve into practical applications, often seen in mid-level interviews.
11. What are closures?
A closure accesses outer scope variables post-execution.
Example:
function outer() {
let count = 0;
return () => count++;
}
let increment = outer();
console.log(increment()); // 1
freeCodeCamp highlights their use in encapsulation.
12. Explain the event loop.
Manages async code by queuing tasks when the call stack is empty. Includes microtasks (Promises) and macrotasks (setTimeout). Dev.to explains its role in non-blocking I/O.

13. What are arrow functions?
Concise syntax without own this. Example: const add = (a, b) => a + b;. Not for methods.
14. What is lexical scope?
Scope determined by code position. Inner functions access outer variables.
15. How to clone an object?
Shallow: {…obj}; Deep: JSON.parse(JSON.stringify(obj)). Limits with functions/dates.
16. What is currying?
Transforming multi-arg functions into unary ones. Example:
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const curryAdd = x => y => x + y;
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console.log(curryAdd(2)(3)); // 5
17. Difference between apply, call, bind.
call invokes with args list; apply with array; bind returns new function.
18. What is IIFE?
Immediately Invoked Function Expression: (function() { … })();. For private scopes.
19. Explain async and defer in script tags.
async loads non-blocking; defer executes post-DOM parse. For optimization.
20. What is event delegation?
Attaching listeners to parents for efficiency. Uses bubbling.
Advanced JavaScript Questions
These test deep knowledge, common in senior or FAANG interviews.
21. What are generators?
Functions yielding multiple values: function* gen() { yield 1; yield 2; }. For iterators.
22. Difference between WeakSet/Set and WeakMap/Map.
Weak versions allow GC if keys are unreferenced; no size/iteration.
23. What are symbols?
Unique primitives for object keys: const sym = Symbol(‘key’);.
24. Explain Promise.all.
Settles array of promises; rejects on first error.
25. What is debouncing?
Delays function execution post-event. Example for search inputs.

26. What is throttling?
Limits execution rate, e.g., every 100ms.
27. How to prevent memory leaks?
Avoid unnecessary closures; nullify references.
28. What are proxies?
Customize object operations: new Proxy(target, handler).
29. Explain microtask queue.
Prioritizes Promises over macrotasks like setTimeout.
30. What is Shadow DOM?
Encapsulated DOM for components, hiding internals.
For more on web development fundamentals, check our web development course.
Preparation Tips for Frontend Interviews
- Practice on platforms like LeetCode or GreatFrontEnd.
- Build projects to apply concepts.
- Review X discussions for recent trends.
- For crash prep, try our crash course.
- Master DSA and system design with master course.
- Explore data science intersections via data science course.
Conclusion
Mastering these questions will boost your confidence. Practice regularly and stay curious. Ready to dive deeper? Sign up for updates and tackle your next interview head-on.
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