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."
Design an A/B test for pinned-unread feature
Experiment Design: Evaluating a Pinned-Unread Chat Feature Context You are evaluating a new messaging feature that pins chats with unread messages to ...
Choose a precise A/B test primary metric
A/B Test: Choose One Primary Metric for a Home-Screen CTA Color Change You are running an A/B test for an app that changes the color of its primary ho...
Choose clustering vs regression; explain KNN
When would you use clustering vs. regression on a business problem with partially labeled outcomes? Specify the decision criteria (label availability,...
Design an A/B launch amid marketing confounds
You’re running a virtual launch (soft roll-out) of a new fitness tracker product to US+CA users from 2025-08-10 to 2025-08-24 with a 50/50 user-level ...
Explain and validate A/B test assumptions
A/B Test Validity: Core Assumptions, Violations, Diagnostics, and Mitigations You are designing and evaluating an online A/B test for a large, multi-s...
Design a hashtag recommender for News Feed
Design: Hashtag Recommendations in the News Feed Context You are adding hashtag recommendations alongside posts in a large social app’s News Feed. The...
Compute sample size and test duration correctly
Powering Two Online Experiments: Sample Size, Duration, and Design Defenses You are designing experiments to improve a friend-accept rate metric in a ...
Address face recognition concerns with stakeholders
Case Prompt: Face Recognition for Cardholder Verification at POS You are interviewing for a Data Scientist role and are asked to evaluate a proposal t...
Explain p-value and choose correct test
Technical Screen: P-values and Robust Two-Sample/Paired Tests Context: You are a data scientist evaluating healthcare interventions. Answer in clear, ...
Design recommendations objective balancing growth and monetization
Design a Multi-Objective Recommender for Long-Form Content You are designing the ranking objective and measurement plan for a long-form content recomm...
Quantify improvement and compute required sample size
A/B Test on Spam Rate: Sample Size, Inference, and Practical Pitfalls Context: You are evaluating a new classifier that aims to reduce the spam rate (...
Increase posts receiving comments via experimentation
Increase the Share of Posts That Receive a Meaningful Comment You are a data scientist for a consumer social app with posts and comments. Your goal is...
Describe leading cross-functional research collaboration
Behavioral Prompt: STAR Example of Cross-Functional Collaboration Provide a STAR-formatted example from your resume or research where you collaborated...
Compute probability second largest is below 2/3
This question evaluates understanding of order statistics, uniform probability distributions, and probabilistic reasoning, specifically the ability to...
Differentiate x^x and analyze domain
Compute the derivative of f(x) = x^x for x > 0 using logarithmic differentiation. State precisely the domain where the derivative is real-valued. Eval...
Demonstrate concise leadership
You receive feedback that in case interviews you ask many clarifying questions, take a few seconds before answering, and your answers are not concrete...
Build a robust ML pipeline
You inherit an ML pipeline that predicts next-7-day churn for users, but data quality is inconsistent and feature drift is suspected. A) Propose an en...
Write SQL for post-trial conversion cohorts
Using the schema below, write SQL to compute, for users first exposed between 2025‑06‑01 and 2025‑06‑30 (inclusive), the intent‑to‑treat paid conversi...
Demonstrate leadership in cross-functional collaboration
Question This is the Meta Data Scientist onsite behavioral & leadership round. The interviewer works through a set of leadership prompts and expects y...
Diagnose and interpret regression assumptions
This question evaluates proficiency in regression diagnostics and model selection for count outcomes, including OLS assumption checks, log-transformat...