Google Interview Questions
Practice 467 real Google interview questions for 2026 — Google interview questions that cover Coding & Algorithms, Behavioral & Leadership, Analytics & Experimentation, Machine Learning, and Statistics & Math across Software Engineer, Data Scientist, Machine Learning Engineer, and Product Manager roles. Real questions from actual interviews with detailed solutions tailored for interview preparation and role-specific skill building. Expect coding-heavy rounds and design-focused conversations first, then analytics and behavioral assessments that probe impact, collaboration, and "Googleyness." For Software Engineer candidates this collection emphasizes string and substring matching, memory-efficient undo/redo and batched state operations, graph/time-series connectivity and queue problems, plus scaling for huge inputs and behavioral scenarios about teamwork and ambiguity. Data Scientist questions repeat themes in causal and unbiased upgrade experiments, bootstrap inference and percentile estimation from buckets, sampling and subarray algorithms, and sequence analytics. Machine Learning Engineer prompts focus on LLM lifecycle and trade-offs, recommendation and cold-start ranking strategies, weighted sampling and search, and building chatbots over mixed structured/unstructured data. Product Manager items center on Google Maps/Android product ideation, real-time data throughput and estimation, market sizing, and explaining technical tradeoffs to non-technical stakeholders. Use targeted coding practice, mock design interviews, experiment design drills, and concise STAR stories for best results.
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"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
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"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
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"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Answer range queries for alternating parity subarrays
Problem You are given an integer array nums of length n and q queries. Each query is a pair [l, r] (0-indexed, inclusive). A subarray nums[l..r] is ca...
Explain LLM fine-tuning and generative models
ML Fundamentals — LLM & Generative AI Track You are interviewing for an ML-focused engineering role. After a short résumé walkthrough, the interviewer...
Answer leadership and quality tradeoff questions
Answer the following behavioral questions with specific examples. 1. Describe a project you led. Why was it challenging? 2. Have you changed any hobbi...
Minimize maximum height along a grid path
You are given an m x n grid heights of distinct integers representing terrain heights. You start at the top-left cell (0,0) and want to reach the bott...
Answer conflict, failure, and proud project questions
Behavioral questions Answer the following behavioral prompts using real examples from your experience: 1. Conflict: Tell me about a time you had a con...
Minimize Fence Painting Operations
You are given a fence made of n adjacent vertical boards. Each board has width 1, and the height of the i-th board is a[i]. You have a brush of width ...
Match people to questions using tags and priorities
You are building a simplified “Q&A matching” feature. You have: - people: N people, where person i has a set of expertise tags P[i]. - questions: M qu...
Implement Batched Undo/Redo Layer
You are implementing a simplified document layer for a design tool. The layer stores properties as a map<string, string>. Implement a class that suppo...
Design an editable sequence with marker
Design a mutable ordered sequence of elements together with a marker that points to one element in the sequence. Support the following operations: - I...
Find Minimum Rooms Needed
You are given a list of meeting intervals, where each interval is represented as [start, end) and start < end. Two meetings conflict if their time ran...
Solve Shortest Paths and Rental Allocation
You are given two independent coding problems. Problem 1: Shortest path in a weighted graph You are given a weighted graph where each edge has a non-n...
Compute minimal transfers to settle group expenses
Problem A group of friends go on a trip and share expenses. Each expense is recorded as an object: - payer (string): who paid the full amount - amount...
Design a waitlist manager
Object-Oriented Design: Waitlist Manager Design a waitlist management component (e.g., for a restaurant or event) that maintains FIFO order for partie...
Solve chat, grid paths, and car rentals
You are given three independent programming tasks. For each, describe and implement an efficient algorithm, and be prepared to analyze its time and sp...
Design compressed vector and compute dot product
Problem You are given very long integer vectors where many adjacent elements repeat (e.g., long runs of the same value). Storing the full array is mem...
Explain ML model fundamentals
Explain ML model fundamentals Comprehensive ML Concepts: Logistic Regression, Naive Bayes, Transformers, Multi-class Metrics, Bagging vs Boosting Cont...
Model Soccer Shot Conversion
You are given event-level soccer shot data, and possibly tracking or contextual data. Build a model that predicts the probability that a shot becomes ...
Maximize 1D deliveries within distance and minimize total distance
You are given positions on a 1D line: - people: an array of N integers (positions of people) - shops: an array of M integers (positions of milk-tea sh...
Design large-scale near-duplicate video detection
Design a product-grade fuzzy (near-)duplicate detection system for a large short-video platform. You need to detect whether an uploaded video is a nea...
Solve several streaming, DAG, and DP tasks
You were asked multiple algorithmic questions. 1) Streaming longest subarray with average S You receive an infinite stream of integers (can be positiv...