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."
"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."
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 ...
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...
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 ...
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 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 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...
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 \(X,Y,Z\),...
Explain core ML concepts
ML Theory Check: PCA, Trees, RL, Regularization, Optimization, and Transformers Context: Provide concise, technically correct explanations suitable fo...
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...
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...
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...
Compute rolling standard deviation in O(n)
Given an array of numbers and a window size k, compute the rolling standard deviation for every contiguous window. Design an O(n) algorithm that updat...
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 ...
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...
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...
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...
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...
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...
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 ...