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 a Scheduler and Metrics Platform
Design a cloud-native job scheduling and metrics monitoring platform for a Kubernetes-like environment. The platform should allow internal users to su...
Implement Journey Counter and Speeder Detector
This question evaluates parsing, time-series processing, and algorithmic reasoning for detecting complete journeys and speed violations from structure...
Solve array-sum and city-community problems
This question evaluates array-processing and grid/graph connectivity skills, covering counting subarrays with a target sum and identifying connected b...
How would you evaluate a new ads ranking algorithm?
Context You work at a social network company with an ads marketplace. The company has an existing ads ranking algorithm currently used to select and o...
Design a fullstack app with frontend focus
Design a fullstack app with frontend focus Design a Full‑Stack Web Application (Frontend Emphasis) Context You are given a 2–3 page requirements docum...
Explain variadic functions
Explain variadic functions Variadic Functions in Two Languages + Typesafe Variadic Logger Context Variadic functions accept a variable number of argum...
Implement paginated retrieval of transactions
Implement paginated retrieval of transactions Given a large list of transaction records (id, userId, amount, createdAt), implement APIs to return tran...
Implement K-Means and Explain Convergence
Implement K-means clustering in Python and explain convergence. Covers assignment and update steps, stopping criteria, empty clusters, objective funct...
Describe recent project experiences
Describe recent project experiences Behavioral: Walk Through Two Recent ML Projects Context: Technical screen for a Machine Learning Engineer. Focus o...
Explain HTTP methods and your usage
Explain HTTP methods and your usage HTTP Methods, Idempotency, Safety, and Practical Use Context You design and consume RESTful APIs for high-throughp...
Compute minimum-cost service cover
You are given: ( 1) a list of rental service packages, where each package contains a set of services (strings) and a non-negative price, e.g., [(["wif...
Compute EL and RWA from loan data
Compute EL and RWA from loan data Task: Compute Portfolio EL and RWA from Loan-Level PD, LGD, EAD Context You are given an anonymized, loan-level data...
Handle missing values for LGD modeling
Handle missing values for LGD modeling Handling Missing Values for LGD Modeling Context You are building a Loss Given Default (LGD) model using accoun...
Compute max profit with forced trades
Compute max profit with forced trades Given an array prices where prices[i] is the stock price on day i, solve two related tasks under a forced-trade ...
Compute Variance from a Python List
Given a Python list of numeric values, write a function to compute the variance without using external libraries such as NumPy or pandas. Clarify any ...
Implement Euclidean distance and k-nearest neighbors
You are working with points in an n-dimensional Euclidean space, where each point is represented as a list (or array) of numeric coordinates. Assume: ...
Find next greater element for subset
You are given two integer arrays query and nums. - All elements in nums are distinct. - Every element in query also appears in nums. For each value x ...
Describe impact, prioritization, and stakeholder management
Describe impact, prioritization, and stakeholder management Behavioral interview (Hiring Manager) You are interviewing for a data/ML role. Answer the ...
One of the most comprehensive LinkedIn DS Product Cases!
You are a Data Scientist working on LinkedIn's profile experience. Define, diagnose, and improve profile completion. Answer these questions: 1. How wo...
Design Rideshare Marketplace Causal Analyses
You are a data scientist at a ride-hailing marketplace. Answer the following case prompts as if you were advising product, operations, and marketplace...