Meta + Google + TikTok + Amazon Interview Questions
Practice the exact questions companies are asking right now.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"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"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"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."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"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."
Evaluate a Live-Stream Group Notification Under Network Effects
Prompt A social travel app wants to add a notification: “Someone in one of your groups is live now.” The notification can increase attendance at live ...
Architect an AI Chatbot for Enterprise Users
Architect an AI chatbot for enterprise users over internal knowledge and tools. <details> <summary>Hint 1</summary> Start by stating assumptions, then...
LLM Foundations: Architecture, Adaptation, and Steering
This question evaluates a candidate's conceptual understanding of large language model architecture, adaptation, and inference-time control. It probes...
Compare Survey Satisfaction for New and Established Users
The interview report preserved the survey tables and the request to compare response levels for new and old users, but it explicitly noted that the in...
Add One Source to Minimize Grid Inconvenience
Add One Source to Minimize Grid Inconvenience Implement min_max_inconvenience(grid). grid is a non-empty rectangular matrix containing 0 and 1. A cell...
Search a Pattern Across the Leaf Text of a Binary Tree
Search for a pattern across the left-to-right concatenation of binary-tree leaf strings, including matches that cross leaf boundaries. This algorithm ...
Resolve a Technical Disagreement with a Teammate
Resolve a Technical Disagreement with a Teammate Prompt Tell me about a meaningful technical disagreement with a teammate. Explain what was at stake, ...
Machine Learning Fundamentals: Optimizers, Scaling Laws, and Clustering
This question evaluates conceptual grasp of core machine learning fundamentals: gradient-based optimizers, neural scaling laws, and unsupervised clust...
Count Rectangle Coverage on a Grid
Count Rectangle Coverage on a Grid You are given an n x n grid initially filled with zeroes and a list of inclusive rectangular updates. Each rectangl...
Reserving an Elevator for Food Deliveries
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Design an LLM-Based Coding Assistant
This question evaluates a candidate's ability to design an end-to-end machine learning system, covering model architecture, training data pipelines, e...
Build a Custom CompletableFuture: Async Primitive and Parallel Array Processing
You are asked to design and implement, from scratch, a simplified asynchronous "future / promise" abstraction in the spirit of Java's CompletableFutur...
Generate Every Ordered Sum Using Ones and Twos
Generate every ordered string of ones and twos whose digit values sum to a target integer, with no duplicates and lexicographic output. The problem te...
Behavioral: Learn and Be Curious
This behavioral question evaluates a software engineer's capacity for self-directed learning and intellectual curiosity under real project constraints...
Describe Work Beyond Your Formal Responsibilities
Describe Work Beyond Your Formal Responsibilities Tell me about a time you took on useful work outside the normal boundaries of your role. Why did the...
Explain Core ML Interview Concepts
You are in a phone screen for an applied scientist / machine-learning engineer role and are asked to verbally explain a set of machine-learning fundam...
Object-Oriented Design: Snake Game
This question evaluates a candidate's ability to translate a familiar game into a clean object-oriented model, covering class decomposition, encapsula...
Sliding Window Average After Dropping the Largest Values
Compute one average per fixed-size sliding window after removing exactly the largest k values, counting duplicates separately. Support negative number...
Filter Repeated Robot Status Messages
Filter Repeated Robot Status Messages Implement filter_messages(events) for a robot status stream. Each event is a pair [timestamp, message]. Return, ...
Implement Stable Sigmoid, Softmax, and Scaled Dot-Product Attention
Implement Stable Sigmoid, Softmax, and Scaled Dot-Product Attention Implement the mathematical core of three common neural-network operations without ...