LinkedIn Interview Questions
Practice 142 real LinkedIn interview questions for 2026. Covers all top categories — Coding & Algorithms, System Design, Analytics & Experimentation, Data Manipulation (SQL/Python), and Behavioral & Leadership — across Software Engineer, Data Scientist, Machine Learning Engineer, and Data Engineer roles. Real questions from actual interviews with detailed solutions; this collection is designed for focused interview preparation that prioritizes coding and scale-first problem solving alongside rigorous metrics thinking. Expect LinkedIn interviews to evaluate production-ready tradeoffs, clear metricization of ranking and relevance, and the ability to diagnose live-traffic regressions. For Software Engineer candidates, recurring themes include constant-time randomized data structures and frequency-weighted sampling, Top-K ranking service design and distributed-scaling considerations, plus classic array/string and stack-with-max algorithmic problems. Data Scientists should be ready for model fundamentals and optimization (logistic regression, backprop, Adam), causal and experimentation diagnostics for feed/homepage drops, and sampling/variance concerns in ranking metrics. Machine Learning Engineers will see recommendation and skills-inference system design, clustering convergence and probabilistic sampling questions, and production alerting/spike-detection. Data Engineers encounter efficient data-structure implementations tied to measurable production impact.
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"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."
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"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."
Measure Relevant Feed Success
LinkedIn changes the Home Feed default experience from showing all content to showing only content predicted to be relevant to each viewer. How would ...
Count Trips From Vehicle Logs
You are given a text log of vehicle events on a road system. Each log record contains: - license_plate: a string identifying a vehicle - event_type: o...
Minimize adjacent-color assignment cost
You are given H linear items (e.g., houses) and an H×C cost matrix where cost[i][c] is the cost of assigning color c to item i. Adjacent items cannot ...
How to analyze Simpson's paradox
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Sketch distributions and compare mean/median/mode
Distribution sketches and summary-stat comparisons Answer the following conceptual statistics questions. Assume you have a large random sample and you...
Solve Cache, Window, and Heap Problems
You may be asked to solve multiple algorithmic problems in coding rounds: 1. Frequency-based cache: Implement a cache with get(key) and put(key, value...
Discuss Projects and Tradeoffs
You are asked to do a deep dive on two past software projects. For each project, explain: 1. The business or engineering problem. 2. Your exact role, ...
Process Mutable Matrix Sum Queries
You are given a 2D integer matrix and a list of queries. There are two query types: - set r c v: update the value at row r and column c to v - get r1 ...
Validate parentheses with one or three bracket types
Problem Given a string s consisting only of bracket characters, determine whether it is valid. A string is valid if: - Every opening bracket has a cor...
Handle imbalance, validate samples, and avoid overfitting
Answer the following applied ML questions. 1) Class imbalance You’re building a binary classifier where positives are rare. - What are practical ways ...
Sample index from probability distribution
You are given a discrete probability distribution for an \(M\)-sided die as an array p[0..M-1], where each p[i] is non-negative. Design a function sam...
Implement alert queries and spike detection
You are building an in-memory alert analytics component. Each alert has: - timestamp (integer seconds since epoch) - severity (one of a small fixed se...
Explain activations, losses, and Adam
Answer the following ML fundamentals questions: 1) Neural network building blocks - What is a "layer" in a neural network, and what does it compute? -...
Compare queueing systems and common distributions
Question You are asked a series of statistics fundamentals questions in a data science technical screen. 1. Queueing. A bank with 5 tellers can be org...
Explain a project and handle ambiguity
Behavioral & Leadership: End-to-End Project + Ambiguous Production Incident You are interviewing for a Software Engineer (Onsite) role. Provide a conc...
Train with imbalanced sampled data
You are training a binary classifier on a very large dataset where the positive class is rare. Because the full dataset is too large to train on direc...
Compute each member’s current notification status
Question You are given two tables describing LinkedIn members’ push-notification settings. Compute each member’s current notification status as of 202...
Analyze member video posting behavior by country
Question You are given two tables describing LinkedIn members and the videos they upload. Write SQL (and optionally Python where noted) to answer the ...
Find shortest word transformation with caching
You are given a start word and an end word of equal length, and a dictionary of valid words. In one move you may change exactly one letter to form a n...
Handle imbalance, sampling, and overfitting
You are asked several machine learning fundamentals questions: 1. You are building a binary classifier with a highly imbalanced target. How would you ...