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."
Analyze a geo rollout and interpret charts
Causal Impact of a New Onboarding Flow Launched in Texas and Florida Context: A new onboarding flow was launched on 2025-07-15 only in Texas (TX) and ...
Explain life story, project leadership, and negotiation
Behavioral & Leadership — HR Screen (Data Scientist) In a single, structured answer, address all items below with specific dates, names, and quantifie...
Compare Random Forests vs Gradient Boosting rigorously
Technical ML Choice: Random Forest vs. Gradient-Boosted Trees for Large-Scale Binary Classification Problem Setup You need to choose between a Random ...
Diagnose a 20% retail revenue drop
E-commerce Revenue Drop Diagnosis Case Context Week T net revenue is down 20% versus the prior 4-week moving-average baseline. You have weekly e-comme...
Estimate Super Bowl QR ad sign-ups
Incremental Sign-ups From a Super Bowl QR Ad (48h) CoinFactory ran a 60-second Super Bowl TV spot on 2025-02-09 with a QR code to a signup page. Succe...
Design and evaluate an A/B test for launch
A/B Test Design: New Matching Model for a Two‑Sided Marketplace Context You are testing a new matching/ranking model that determines which providers a...
Forecast response-rate trends with backtesting
This question evaluates proficiency in time-series forecasting and model validation, including feature engineering, model selection, rolling-origin ba...
Formulate hypotheses and compute AB test significance
A/B Test Snapshot: Pickup ETA Card Experiment You are analyzing a 7-day A/B test with equal allocation. Each request is an exposure; the primary outco...
Explain a favorite model end-to-end
Predictive Model Deep-Dive (End-to-End) Pick one predictive model you know deeply (e.g., logistic regression, gradient-boosted trees, transformer clas...
Describe resolving revenue–UX metric conflict
Behavioral: Leading a High-Stakes Revenue vs. UX Trade-off Context: You led a decision where ads revenue goals conflicted with user-experience metrics...
Compare CNN/RNN/LSTM and implement K-means
Deep Learning Concepts and K-means Implementation (Onsite ML Interview) This is a two-part onsite round for a Data Scientist role: a conceptual deep-l...
Compute posterior and event counts in fraud screen
Fake-Account Screening with Threshold on 5 Signals You are designing a rule-based screener that flags an account if at least k of 5 binary signals fir...
Design and analyze ad A/B test
A/B Test Analysis Plan: New Ad-Ranking Algorithm (B) vs. Production (A) Context: You are evaluating a new ad-ranking algorithm (B) against the current...
Design and explain robust web APIs for ML inference
Design an HTTP API for Image-Based Model Predictions Context: Design an HTTP REST API that serves predictions for image inputs (e.g., classification, ...
Design causal measurement without randomization
Causal Study Design: Notification Feature Impact on 7-Day Retention Context: A new notification feature shipped on 2025-06-01. Randomized rollout was ...
Find common friends from directed edges
You have a directed edge list that records who followed whom. A mutual “friendship” exists only if both directions appear (A→B and B→A). Schema and sa...
Parse a deeply nested JSON
Parse a deeply nested JSON Given a JSON document with approximately five levels of nesting, write code to traverse it and extract specified fields whi...
Design experiments for marketplace product changes
You are interviewing for a Data Scientist role at a food-delivery marketplace such as DoorDash. For each scenario below, explain how you would evaluat...
Improve shopping cart latency and stock notifications
You are given an existing e-commerce shopping cart system (web/mobile) that already supports adding/removing items and viewing the cart. The interview...
Answer OoO, caches, and memory-system questions
You are interviewing for a CPU/DV role. Provide clear explanations (and small worked examples where useful) for the following computer architecture to...