Certainly! Technical interviews can be challenging, but with preparation, you can ace them. Here are some commonly asked technical interview questions that you might encounter when interviewing with tech companies:

  • What are some common coding challenges in tech interviews

Data Structures and Algorithms:

Questions related to arrays, linked lists, trees, graphs, stacks, queues, and hash tables.


“Implement a binary search tree.”

“Find the longest increasing subsequence in an array.”

  • Systems Design:

Questions about designing scalable and efficient systems.


“Design a URL shortening service.”

“How would you build a distributed cache?”

Coding and Problem Solving:

Algorithmic questions that test your problem-solving skills.


“Reverse a linked list.”

“Find the first non-repeated character in a string.”

For more comprehensive lists of technical interview questions, you can explore the following resources:

GeeksforGeeks: They provide a complete list of technical interview questions for various topics, including programming languages, web development, AI, and more. Check it out here1.

Interview Kickstart: They have curated over 45 commonly asked questions covering data structures, systems design, and coding. You can find them here2.

Remember to practice, review your fundamentals, and approach each question with confidence. Good luck with your technical interviews! 🚀

Google is one of the most sought-after employers in the world, and getting an interview with them is not easy. You need to prepare well for the various types of questions they might ask you, ranging from technical to behavioral to hypothetical. Here are some of the top Google interview questions, along with some example answers, that you can use for inspiration.

  • How do I prepare for a behavioral interview:

  • Why Google? This is a common question that tests your motivation and fit for the company. A good answer should highlight how your skills, interests, and values align with Google’s mission, vision, and culture. For example, you could say:

I want to work at Google because I admire its innovative products and services that have transformed the lives of billions of people. I share Google’s passion for solving complex problems with cutting-edge technology and user-centric design. I also appreciate Google’s culture of openness, collaboration, and diversity, which fosters creativity and learning.

  1. What is your favorite Google product? Why? How would you improve it? This question assesses your product sense and analytical skills. A good answer should demonstrate your knowledge of the product, its features, benefits, and drawbacks, as well as your ability to suggest improvements based on user feedback, data, or market trends. For example, you could say:

My favorite Google product is Google Maps. I use it almost every day to navigate, explore, and discover new places. I like how it integrates with other Google services, such as Search, Assistant, and Photos, to provide a seamless and personalized experience. I also appreciate how it leverages AI and ML to provide accurate and real-time information, such as traffic, transit, and recommendations. One way I would improve Google Maps is by adding more social features, such as allowing users to create and share custom maps, lists, and reviews with their friends and communities.

2. How do you reverse a linked list? This is a classic technical question that tests your knowledge of data structures and algorithms. A good answer should explain the logic and steps of the algorithm, as well as write the code in a language of your choice. For example, you could say:

A linked list is a linear data structure that consists of nodes that store data and pointers that link to the next node. To reverse a linked list, we need to change the direction of the pointers, so that the head becomes the tail and the tail becomes the head. We can do this by using three variables: prev, curr, and next. Prev stores the previous node, curr stores the current node, and next stores the next node. We initialize prev to null and curr to the head of the list. Then, we iterate through the list until curr is null, and perform the following steps:

  • Assign next to curr.next

  • Assign curr.next to prev

  • Assign prev to curr

  • Assign curr to next 

  • in Python would look something like this:

def reverse_linked_list(head):
  # Initialize prev, curr, and next
  prev = None
  curr = head
  next = None

  # Iterate through the list until curr is null
  while curr:
    # Assign next to curr.next
    next = curr.next
    # Assign curr.next to prev
    curr.next = prev
    # Assign prev to curr
    prev = curr
    # Assign curr to next
    curr = next

  # Return prev as the new head of the reversed list
  return prev