LinkedIn Interview Questions
Practice 147 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.
"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."
Evaluate 'Job You May Be Interested In' Recommender
Evaluating a LinkedIn Jobs Recommender Upgrade LinkedIn is upgrading the algorithm that recommends jobs to members across surfaces such as the Jobs ta...
Identify Sales Professionals
Classifying Sales Professionals on LinkedIn You are building a machine-learning system that automatically classifies LinkedIn members who are likely t...
Explain HTTP verbs, CSS, and accessibility
Frontend Fundamentals: HTTP Methods, CSS Styling, and Accessibility Context You are preparing for a frontend engineering interview question that spans...
Describe leading an infrastructure initiative
Describe leading an infrastructure initiative Behavioral: End-to-End Infrastructure Initiative You are asked to describe a time you led an end-to-end ...
Estimate Redesign Impact Using Propensity Score Matching
Estimate Redesign Impact Using Propensity Score Matching Scenario A mobile app has been redesigned. Adoption is voluntary: users choose to upgrade to ...
Find index with positive suffix sums
This question evaluates array manipulation and algorithmic problem-solving skills, focusing on reasoning about cumulative (suffix) sums and time-compl...
Generate uniform 0–6 from biased coin
You are given a function: - int getRandom01Biased() returns 0 with probability p and 1 with probability 1-p, where p is unknown and may be any value i...
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...
Frequent Traveler Case
You are a data scientist at a professional networking platform. Using coarse location signals such as city-level login location, IP geolocation, GPS, ...
Single Queue vs Multiple Queues — Service Design
Bank Branch Queue Design: Single Queue Versus Multiple Queues A bank branch has c identical tellers. Customers arrive approximately as a Poisson proce...
Predict Impact of 'Online Indicator' Feature
LinkedIn Messaging: Online Presence Indicator LinkedIn plans to display an online presence indicator, such as a green dot, next to first-degree connec...
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...
Implement map and render to DOM
Build a Vanilla JS map-like Utility and DOM Renderer Context You are working in a basic browser environment with no frameworks or libraries. Implement...
Find dictionary words matching a phone digit string
This question evaluates familiarity with phone-keypad character-to-digit mappings, string pattern matching, and efficient filtering of dictionary word...
Find the k-th largest element in an array
Given an integer array nums and an integer k, return the k-th largest element in the array. Notes: - The k-th largest element is the element that woul...
Explain Core ML Fundamentals
Review ML fundamentals including logistic regression, cross-entropy loss, batch versus stochastic gradient descent, batch size tradeoffs, overfitting,...
Device Status without Timestamps
Table: article_views article_id INT author_id INT viewer_id INT view_dt DATE Count authors who have never viewed any of their own articles. On 20...
Solve substring and top‑K pair problems
This multi-part question evaluates algorithm design and data-structure proficiency across string processing (minimum window substring), pair-selection...
Explain database transactions and ACID
Database Transactions and ACID under Concurrency Prompt You are working with a relational database that supports transactions and multiple isolation l...
Minimize adjacent-color assignment cost
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 c...