Top 2021 Interview Questions from Google


Are you preparing for a Google interview and looking for the most relevant questions to practice? This comprehensive guide compiles 200 publicly reported Google interview questions from 2021, covering software engineering, data science, and product management. From coding and algorithms to product design and market analysis, these questions provide valuable insights to help you succeed in one of the most challenging and prestigious interview processes in tech.

Software Engineering Interview Questions:

  1. Coding and Algorithms:
    • Implement a function to check if a binary tree is balanced.
    • Design an algorithm to find the shortest path in a weighted graph.
    • Write a function to merge two sorted linked lists.
    • How would you detect a cycle in a linked list?
    • Explain the difference between quicksort and mergesort.
  2. Data Structures:
    • Describe how a hash table works.
    • Implement a stack using queues.
    • How would you design a data structure for a LRU (Least Recently Used) cache?
    • Explain the concept of a trie and its applications.
    • What are the advantages and disadvantages of using a binary search tree?
  3. System Design:
    • Design a URL shortening service like bit.ly.
    • How would you design a scalable notification system?
    • Describe the architecture of a distributed file storage system.
    • Design a real-time chat application.
    • How would you handle rate limiting for an API?

Data Science Interview Questions:

  1. Statistics and Machine Learning:
    • Explain the bias-variance tradeoff.
    • How do you handle missing data in a dataset?
    • Describe the difference between supervised and unsupervised learning.
    • What is cross-validation, and why is it important?
    • How would you evaluate the performance of a classification model?
  2. Coding:
    • Write a SQL query to find the second highest salary in a table.
    • How would you implement a linear regression model in Python?
    • Explain how to optimize a query that is running slowly.
    • Describe the process of feature selection in machine learning.
    • How do you handle class imbalance in a dataset?
  3. Product Sense:
    • How would you use data to improve a product like Google Maps?
    • Describe a metric you would use to evaluate the success of a new feature.
    • How do you prioritize data analysis tasks when working on a product team?
    • What factors would you consider when designing an A/B test for a new product feature?
    • How would you assess the impact of a change in the search algorithm on user satisfaction?

Product Management Interview Questions:

  1. Product Design:
    • How would you improve Google’s search functionality?
    • Design a new feature for Google Maps.
    • What metrics would you use to evaluate the success of a new product?
    • How would you prioritize features for a product launch?
    • Describe a product you think is well-designed and explain why.
  2. Market Analysis:
    • How would you assess the potential market size for a new Google product?
    • What factors would you consider when launching a product in a new country?
    • How do you analyze competitors in the tech industry?
    • What are the key challenges in entering an emerging market?
    • How would you determine the pricing strategy for a new service?
  3. Strategic Thinking:
    • What do you see as the biggest challenges facing Google in the next five years?
    • How would you approach making a business case for a new product investment?
    • Describe a time when you had to persuade stakeholders to support your strategy.
    • How do you evaluate the long-term sustainability of a business model?
    • What strategies would you recommend for Google to stay ahead of its competitors?
, ,

Leave a Reply