Meta Behavioral & Leadership Interview Questions
Practice 1,166 real Meta interview questions for 2026. Covers top categories — Coding & Algorithms, Analytics & Experimentation, Data Manipulation (SQL/Python), Behavioral & Leadership, and System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Data Engineer, and Product Manager roles. Real questions from actual interviews with detailed solutions. Expect a software-engineering-heavy loop: timed algorithmic coding (trees, arrays, graph/maze problems, delimiter/CSV parsing), system-design prompts like leaderboards, flight search and online-judge architectures, and an increasingly common AI-assisted coding round that mirrors real workflows. Data Scientist rounds emphasize product analytics and experimentation—designing tests, diagnosing spend drops and bots, evaluating unconnected content, and writing SQL for multi-account, seller, and vehicle metrics. Machine Learning Engineer questions skew toward recommender and ranking work (place and friend recommendation, sparse-matrix ops, linear-regression derivations, newsfeed dislike models). Data Engineers focus on data modeling, ETL, capacity calculations, reservations/utilization queries, and production SQL/Python tasks. For interview preparation, prioritize timed coding practice, system-design templates, rigorous SQL drills (joins/CTEs/aggregation), clear A/B-testing frameworks, and concise STAR behavioral stories tied to measurable 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."
Solve linked list, top-K, and string reduction
Solve linked list, top-K, and string reduction Solve the following algorithmic tasks: 1) Given a singly linked list, return the k-th node from the end...
Describe learning from a post-interview bug
Describe learning from a post-interview bug Behavioral Prompt: Bug Discovered After a Remote Technical Screen Context You are in a remote technical sc...
Compute Bayes probability for fake accounts
This question evaluates Bayesian reasoning and probabilistic modeling skills, including conditional probability, base-rate effects, detector character...
Solve LeetCode stack and tree problems
Question LeetCode 1249. Minimum Remove to Make Valid Parentheses LeetCode 863. All Nodes Distance K in Binary Tree https://leetcode.com/problems/minim...
Find closest BST value and remove parentheses
Question LeetCode 270. Closest Binary Search Tree Value LeetCode 1249. Minimum Remove to Make Valid Parentheses (follow-up: achieve without using a st...
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...
Remove minimum invalid mixed brackets
Given a string s containing letters and bracket characters from the set (), [], {}, remove the minimum number of bracket characters so that the result...
Connect next pointers for each tree level
You are given the root of a binary tree where each node has fields left, right, and next (initially null). For every node, set its next pointer to the...
Detect bots using comment distribution patterns
This question evaluates a candidate's competency in behavioral analytics, feature engineering, anomaly and bot detection, statistical validation, and ...
Investigate why an advertiser’s spend decreased
This question evaluates a Data Scientist's competency in analytics and experimentation—specifically root-cause analysis of ad spend declines, attribut...
Handle diverse styles and give constructive feedback
Behavioral: Collaboration, diversity, feedback, documentation Answer the following using specific examples from your past experience. 1. Diversity & i...
Analyze and mitigate fake advertiser accounts
This question evaluates competency in fraud detection analytics, including operationally defining fake advertiser accounts, designing longitudinal met...
Write SQL for seller and category metrics
This question evaluates proficiency in SQL data manipulation—principally joins, aggregations, grouping, filtering, date arithmetic, and safe handling ...
Design structure for top-K frequent elements
You are working with a large collection of items represented by integer IDs (e.g., product IDs, user IDs, etc.). Updates and queries arrive over time....
Describe conflict resolution, prioritization, and collaboration
Describe conflict resolution, prioritization, and collaboration Behavioral Prompt: Conflict Resolution and Leadership (Software Engineer, Onsite) Inst...
Design a scalable key-value configuration service
Design a scalable key-value configuration service Design a Globally Distributed Key–Value Configuration Service Background You are asked to design a g...
Posterior probability given model accuracy
Security Classification: Posterior Probability When Flagged You are evaluating a binary classifier that flags potentially bad users. Assume: - Base ra...
Comparing two ad‑insertion strategies
Comparing Two Ad Insertion Methods You are designing an ad insertion system. In a short time bucket or session, there are n eligible content slots whe...
Interpreting metrics when autoplay videos reduce time‑spent but increase DAU
Autoplay Snippets: Time Spent Down, DAU Up You are analyzing an A/B test where short autoplay video previews were enabled in feed. Per-session time sp...
Evaluating a 15 % reduction in post‑card height
Evaluating a 15 Percent Reduction in Post-card Height You own the feed UX for a social app. Designers propose shrinking each post card's height by 15 ...