Machine Learning Engineer + Data Scientist + Software Engineer 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."
Explain HashMap internals and collisions
Explain HashMap internals and collisions In Java, describe the underlying data structures used by HashMap (e.g., array of buckets, linked lists vs tre...
Discuss project pride, conflict, and pivots
Discuss project pride, conflict, and pivots Behavioral & Leadership (Technical Screen) Context You are a software engineer in a technical screen that ...
Describe your proudest project and dive deep
Describe your proudest project and dive deep Behavioral Prompt: Project You’re Most Proud Of Context: Onsite software engineer behavioral interview. C...
Model booking auxiliary comments with admin updates
Design an object-oriented model (and high-level system design) for a booking system feature that stores auxiliary comments on a reservation. Core requ...
Explain RF/analog IC interview fundamentals
Explain RF/analog IC interview fundamentals You are interviewing for an RF/analog IC design role. Answer the following conceptual questions (no code r...
Design an End-to-End ML System
Design an End-to-End ML System System Design: Real-Time Recommendation ML System Context You are tasked with designing an end-to-end machine-learning ...
Perform matrix Candy Crush elimination
Question Implement a function that, given an m × n integer matrix representing colored blocks (same integers = same color), performs one round of "Can...
Describe Your Path and Key Data Science Project
Describe Your Path and Key Data Science Project Onsite Behavioral + Project Deep Dive (Data Scientist) Context You are in an onsite behavioral round f...
Troubleshoot Sudden KPI Drop After Recent Product Release
Troubleshoot Sudden KPI Drop After Recent Product Release Scenario A product dashboard shows a sudden drop in a key business KPI immediately after a n...
Design A/B Test for Streaming Feature Network Effects
Design A/B Test for Streaming Feature Network Effects A/B Test Design With Potential Social-Network Spillovers (Streaming Platform) Context You are de...
Assess Cultural Fit in Informal Hiring Conversations
Assess Cultural Fit in Informal Hiring Conversations Behavioral & Leadership — Informal Conversation Context Onsite conversation with a hiring manager...
Define and Measure Effective Read on Newsfeed
Define and Measure Effective Read on Newsfeed Designing an "Effective Read" Metric for a Newsfeed Scenario You are tasked with defining and measuring ...
Identify Key Metrics to Address Delivery Delays
Identify Key Metrics to Address Delivery Delays Scenario DoorDash, a food-delivery marketplace, is seeing growing customer complaints about orders arr...
Describe Your Professional Journey and Leadership Experiences
Describe Your Professional Journey and Leadership Experiences Behavioral & Leadership Interview Prompt (Data Scientist — Technical Phone Screen) Scena...
Identify Overlapping Sessions and Optimize Coverage
Identify Overlapping Sessions and Optimize Coverage Scenario During the technical screen, candidates must implement interval algorithms used in fraud-...
Evaluate RAG System Accuracy and Cost Control Strategies
Evaluate RAG System Accuracy and Cost Control Strategies Technical Phone Screen: LLM Pipelines, Knowledge Graphs, and RAG Context You are designing an...
Investigate Causes of Increased Payroll Processing Time
Investigate Causes of Increased Payroll Processing Time Diagnose a 15% Increase in Payroll Processing Time Scenario You are a data scientist at a payr...
Improve Model Generalization with Cross-Validation and Feature Engineering
Improve Model Generalization with Cross-Validation and Feature Engineering Predict Next-Month Orders: Train/Test Split, Pipeline, and AUC Context You ...
Clarify Ambiguous Requirements and Resolve Team Conflicts
Clarify Ambiguous Requirements and Resolve Team Conflicts Behavioral: Collaboration and Communication (Data Scientist, Onsite) Context You are intervi...
Construct a 95% Confidence Interval for Comment Counts
Construct a 95% Confidence Interval for Comment Counts Comment Activity Analysis: Mean CI, Sampling Distribution, and 95th Percentile Context You have...