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."
Answer impact, disagreement, and motivation questions
You are in a 30-minute hiring-manager screen for a senior/staff-level individual contributor role. The manager asks several behavioral questions. Prov...
Design homepage viewport rendering with deduplication
This question evaluates system architecture and backend–client design competencies, including viewport-based fetching, cross-module deduplication, pag...
Design a TikTok-like short video platform
This question evaluates skills in large-scale system design for short-video platforms, including video ingestion and transcoding, storage and CDN stra...
Find top-k distinct elements
This question evaluates understanding of algorithms and data structures for selecting distinct top-k values and enforcing ordering constraints. It is ...
Reverse last two characters with space
This question evaluates basic string manipulation and character indexing skills, including handling of edge cases when treating input as a raw charact...
Design a payment system with holds and batching
This question evaluates a candidate's competency in designing reliable, auditable payment workflows, covering authorization holds, batch settlement, i...
Design rolling-window conversation score tracker
This question evaluates a candidate's ability to design efficient data structures and algorithms for time-windowed streaming data, including maintaini...
Streaming Entropy with Numerical Stability
This question tests a candidate's ability to implement numerically stable online algorithms for computing Shannon entropy over streaming data. It eval...
Reverse Nodes in K-Sized Groups
This question evaluates skills in manipulating singly linked lists, pointer reassignments, and performing in-place group transformations while meeting...
Resolve conflicts and prioritize with stakeholders
Describe a specific time you had to juggle conflicting priorities from Risk, Sales, and Engineering on a payments analytics project. Use STAR with dat...
Diagnose and validate a ratio trend change
You are shown a weekly dispute_rate time series (disputes/succeeded_payments) that rises sharply, then partially reverts. Diagnose whether the change ...
Design a hierarchical forecast for transactions
This question evaluates skills in hierarchical time-series forecasting, covering model selection and reconciliation, cross-validation design, intermit...
Establish causality: commute playlist and driving speed
A lawyer worries that listening to a "Commute" playlist in a mobile app makes users drive faster. As the DS: a) Define the population, unit of analysi...
Justify and harden your analytics and BI stack
List your current analytics tech suite end-to-end (ingestion, storage/warehouse, transformation, orchestration, catalog/lineage, experimentation platf...
Demonstrate invent-and-simplify and customer communication
Behavioral: Two STAR Stories (Data Scientist, Technical Screen) Provide two concise STAR stories that demonstrate your ability to invent/simplify and ...
Demonstrate leadership under ambiguity
Describe a time you faced an open-ended, lightly guided interview or project where the counterpart had a strong accent and offered little direction. H...
Compare Bayesian and frequentist decisions
A/B Test With Beta–Binomial Posteriors and Decision-Making Under Asymmetric Costs You ran a two-arm A/B test on a binary KPI with independent Beta(1, ...
Choose alternatives when randomization fails
Causal Impact of an Autoloaded Feature Without Clean Randomization Context You need to estimate the causal effect of a new autoloaded feature that is ...
Explain RF optimization and variable-importance pitfalls
Optimize and Regularize a Random Forest Regressor for Tabular Data Context: You are training a Random Forest (RF) regressor on tabular data and need t...
Build and evaluate a full ML pipeline
You must predict both (1) probability that a user will spend >$0 in the next 7 days (classification) and (2) expected spend in the next 7 days (regres...