Meta Behavioral & Leadership Interview Questions
Practice 1,159 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."
How would you evaluate emoji reactions launch?
This question evaluates a data scientist's competency in analytics and experimentation, covering metric framework design, A/B testing and quasi-experi...
Find target using robot movement API
You control a robot in an unknown 2D grid. The grid layout and boundaries are unknown, and you cannot access the map directly. Some cells are blocked ...
Design Nearby and Notification Ranking
Two machine learning system design prompts were mentioned: 1. Nearby place recommendation for a mobile user Design a real-time recommendation syste...
How to measure harmful-content severity and run experiments
Question You are a Data Scientist working on content integrity / harmful content at a large social media platform (e.g., hate/harassment, self-harm, g...
Analyze Product Growth Cases
This question evaluates product analytics and experimentation competencies for a Product Analyst role, including metric definition, funnel decompositi...
Design a Location Recommendation System
This question evaluates a candidate's ability to design end-to-end machine learning recommendation systems, covering competencies in candidate generat...
Meta PM Interview Questions
Product and Decision-Making Onsite Case Prompt Set You are a Product Manager candidate preparing for a mixed onsite loop covering strategy, data, desi...
Describe conflict resolution and initiative
The behavioral round reportedly consisted of 7-8 standard questions. A polished version of the expected prompts would be: - Tell me about a time you h...
Solve Maze and Suffix Problems
Solve the following two coding problems. Problem A: Find the shortest path through a maze with keys and doors You are given a 2D grid representing a m...
Compute Exclusive Execution Times
This question evaluates understanding of nested function execution and precise exclusive-time accounting derived from chronological logs, emphasizing ...
Answer DE behavioral and ramp-up questions
Answer the following behavioral questions for a Data Engineer (or data-focused full-stack) role. Provide specific examples. 1. Project under a tight d...
Evaluate account re-ranking via logs and A/B test
A product has users with multiple accounts. In the UI, these accounts are shown as a list. - Current ranking: accounts are sorted by most recent visit...
Analyze Thirty-Day Ad Performance with SQL
Analyze Thirty-Day Ad Performance with SQL For this practice version, use the following neutral schema. clicked is a Boolean recorded on each impressi...
Find top-K frequent elements in a stream
You receive a large stream of items (e.g., integers or strings) that may not fit in memory. Design an algorithm that can return the top K most frequen...
Answer core behavioral questions using STAR
Prepare structured answers (use STAR: Situation, Task, Action, Result) for the following common behavioral prompts: 1. Most proud project: Describe a ...
Architect an asynchronous RL post-training system
System Design: Asynchronous RLHF/RLAIF Post-Training for a Production Chat LLM Context You operate a chat LLM that already serves real user traffic. Y...
Solve Two String Problems
The interview included two coding questions: 1. Exactly one edit apart Given two strings s and t, determine whether they are exactly one edit apart...
Describe proudest project and cross-team work
Behavioral prompts included: 1. Describe the project you are most proud of. 2. Describe a time you worked across teams to deliver a result. For each, ...
Design a price tracking system
Question Design a price tracking system for e-commerce sites (similar to price-history tools such as CamelCamelCamel or Keepa). The system ingests pro...
Debug and optimize a card-drawing strategy
This question evaluates debugging and implementation skills, combinatorial search and optimization, and the ability to design and interpret simulation...