Meta Interview Questions
Practice the exact questions companies are asking right now.
"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 stolen-post detection?
You are interviewing for a Meta DSA (product analytics / data science) role. The product team is launching a new Stolen Post Detection algorithm that ...
How would you evaluate emoji reactions launch?
You work on a Messenger-like chat app (not Meta). The product team plans to ship a new feature: Emoji Reactions (a user can long-press a message for 5...
Write SQL for reply-based recipient metrics
You work on a social product and are given two tables. Assumptions (use these unless you state otherwise): - All timestamps are in UTC. - A “reply” is...
How to evaluate similar-listing notifications feature
Case study (Marketplace product analytics) Context: Circle is a US marketplace app for buying and selling second‑hand products. On a product listing p...
Design a location-based radius top-K search
Design a location-based search service. Input: - latitude, longitude - radius (meters) - K Output: - The top K locations within the radius. The term “...
Compute probability an account is fake
A platform uses an automated classifier to flag potentially fake accounts. Assume: - Base rate: 2% of accounts are fake. - The classifier flags a fake...
Write queries for follows and bookings
You are given tables/logs from a consumer app. Solve the following independent tasks. Part A — Active following as of a date (SQL) You have a follow e...
Design an online auction system
Design a scalable online auction service. Users can: - Create an auction (item info, start/end time, reserve price optional). - Place bids while the a...
Determine feasibility and clean parentheses string
You are given two independent coding tasks. 1) Check if all courses/tasks can be completed You have n courses labeled 0..n-1 and a list of prerequisit...
Count Recent High-Volume Call Users
Given the following tables: users - user_id BIGINT - country STRING - is_active BOOLEAN calls - call_id BIGINT - initiated_at TIMESTAMP - caller_id BI...
How to measure harmful-content severity and run experiments
Context You are a Data Scientist on a social media platform working on harmful content (e.g., hate/harassment, self-harm, violence, sexual exploitatio...
Compute ads revenue by geography in SQL
You have ad delivery logs for a shop-ads system. Tables ad_impressions - impression_id STRING (PK) - ts TIMESTAMP (UTC) - user_id STRING - shop_id STR...
How would you define and use retention metrics?
Scenario You are a Data Scientist supporting a consumer product (app or website). A PM asks you to “dive deep” on user retention and recommends tracki...
Should WhatsApp Launch Group Calls?
Assume WhatsApp currently supports only 1:1 audio and video calling and is considering launching group calling. You are the data scientist evaluating ...
Evaluate new shop-ads ranking algorithm
You work on a marketplace with shop ads. A new ranking/recommendation algorithm is proposed to promote shop ads more aggressively, but stakeholders ar...
Extend BFS maze solver with keys and arrows
Problem You are given a rectangular maze represented as a 2D grid of characters. Implement and iteratively fix/extend a solver that finds a shortest p...
Design experiments and diagnose metric changes
You are a Product/Data Scientist at a food-delivery marketplace (customers, dashers/couriers, merchants). Answer the following product analytics & exp...
How would you evaluate pixel-issue notifications?
Context An ads platform supports an Ads Pixel (a tracking script) that advertisers install on their websites/apps to send back conversion events (e.g....
Debug and optimize a card-drawing strategy
You are given a simplified card game engine with unit tests. The game is played using a table of face-up cards; each card has an integer value. On eac...
Define metrics and data model for product features
You are interviewing for a full-stack/data-oriented role. For each of the following product areas, answer Product Sense and Data Modeling prompts. Cho...