Drw Interview Questions
Practice the exact questions companies are asking right now.
"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."
"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."
Solve three algorithmic OA tasks
Task 1 (Odd-frequency string): Given an integer N in [1..200000], write an algorithm that returns any length-N string of lowercase letters (a–z) such ...
Solve Markov and distribution expectation problems
Statistics, Linear Algebra, and Game Theory Fundamentals 1) Stationary Distribution of a Finite Markov Chain Given a finite Markov chain with transiti...
Build pipeline for imbalanced classification
Build an Imbalanced Classification Pipeline (scikit-learn + imbalanced-learn) Context You are given a tabular dataset with a severely imbalanced binar...
Explain core ML concepts
ML Theory Check: PCA, Trees, RL, Regularization, Optimization, and Transformers Context: Provide concise, technically correct explanations suitable fo...
Explain core ML and DL fundamentals
ML/DL Concept Questions (Take‑home) Provide concise, correct answers to each prompt. 1) PCA - What do the eigenvectors of the covariance matrix repres...
Solve movie ratings, array, release scheduler
Question LeetCode 135. Candy – Distribute the minimum number of candies (stars) so that each movie gets at least one star and any movie with a higher ...
Solve odd-string, digit swap, patient slot assignment
Question Task 1 – Odd-occurrence string: Write a function that, given an integer N (1..200 000), returns a length-N lowercase string in which every le...
Solve three algorithmic OA problems
You are given three independent coding problems. --- Problem 1 – Knockout Tournament Match Counts There are \(n\) players standing in a line, indexed ...
Explain Transformers, activations, and training optimization
Modern Deep Learning: Conceptual Questions (ML Engineer Take-home) You are preparing for a Machine Learning Engineer take-home. Answer the following c...
Differentiate sample vs population standard deviation
Population vs. Sample Standard Deviation in a Finite Rolling Window Context You are implementing a rolling standard deviation over a fixed-size window...
Implement portfolio optimization simulation
Question Given price-return time series in a DataFrame, simulate random portfolio weights, compute expected return, volatility, Sharpe ratio, and retu...
Train LinearSVC to beat baseline accuracy
Task: Train and Evaluate a LinearSVC to Beat a Baseline Context You are given a binary or multi-class classification dataset split into train and hidd...
Derive eigenvalues and sum for inverse matrix
Eigenvalues of an Inverse and Their Sum Context Let A be an invertible n×n matrix (over the real or complex numbers). All eigenvalues of A are nonzero...
Compute expected arc length on a circle
On the unit circle (radius \(1\), centered at the origin), pick three points independently and uniformly at random on the circumference. These three p...
Analyze distribution of a 3-dice product
You roll three independent fair 10-sided dice. Each die shows an integer in \(\{0,1,\dots,9\}\) with equal probability. Let the outcomes be \(X,Y,Z\),...
Build an imbalanced classification pipeline with sklearn
Take-home: End-to-end Imbalanced Binary Classification Pipeline (scikit-learn + imbalanced-learn) Context You are given a tabular, imbalanced binary c...
Compute Markov steady state and expectations
Probability and Game Theory: Three Sub-questions Context: The exact transition matrix P (for Q1) and the 2×2 payoff matrix (for Q3) are not provided. ...
Implement simulation-based portfolio optimizer in Python
Given a pandas DataFrame 'returns' of daily asset returns (index: dates; columns: tickers) and an annualized risk‑free rate r_f, implement a simulatio...
Train LinearSVC to beat a hidden baseline
Take‑Home: Build a strong LinearSVC pipeline that beats a baseline and generalizes Problem You are given training features X_train and labels y_train ...
Solve three algorithmic tasks in Python
Implement in Python three tasks. 1) Movie Ratings (DP): Given an integer array ratings of length n, return both (a) the length of the longest strictly...