Meta Data Manipulation (SQL/Python) 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."
Calculate Engagement Metrics for Info-Stream Content Analysis
info_stream_views +----------+-----------+--------------+----------+------------+ | post_id | viewer_id | relationship | duration | ds | +---...
Compute Daily Revenue by Creation Source
active_ads date | ad_id | advertiser_id | creation_source | revenue 2023-09-01 | 1001 | 17 | mobile_app | 150.00 2023-09-01 | 1...
Evaluate the Health of Facebook Groups
Group Health Metrics and Threaded Comments Experiment You are a Data Scientist working on a platform with Groups ranging from small hobby clubs to ver...
Quality and frequency control for push notifications
Push Notifications: Quality, Overload Mitigation, and Per-user Caps You are a data scientist working on push notifications for a consumer app. Pushes ...
Design a Restaurant Recommendation System for Food Apps
Design a Restaurant Recommendation System for a Food-Ordering App You are designing an end-to-end recommendation system that suggests restaurants to u...
Resolve Team Conflicts to Improve Delivery Efficiency
Behavioral Interview: Resolve Team Conflict and Improve Delivery You are in a Behavioral and Leadership interview for a Data Scientist role. The inter...
Evaluate Chatbot Launch: Value, Risks, Impact, Success Metrics
Meta analytics prompt on evaluating a retailer-facing chatbot launch, covering opportunity sizing without A/B testing, user and business metrics, mode...
Identify Users Interested in Group Video Calls
video_calls caller | recipient | ds | call_id | duration u1 | u2 | 2023-09-01| c100 | 320 u3 | u4 | 2023-09-01| c101 ...
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...
Define Metrics and Account for Network and Novelty Effects
Metrics for Notification-Triggered In-App Surveys Meta's notification system triggers optional in-app surveys to measure user sentiment after notifica...
Design Experiment to Test New Hashtag Recommender Algorithm
Experiment Design: Testing a New Hashtag Recommender A social app shows hashtag recommendations to users while they compose posts. A new algorithm is ...
Calculate Probabilities for Mixed Reviewer Types
Probabilities for Mixed Reviewer Types Two types of reviewers exist in a marketplace: - Lazy reviewers are 20% of reviewers and always give good revie...
Leverage Data Sources for Effective Push Notification Strategy
Data Sources and Metrics for Push Notification Strategy A product team wants to improve the quality and impact of mobile push notifications for a cons...
Analyze Distribution of Daily Page Shares Per User
Engagement Distributions and Cohort Dynamics You are analyzing per-user, per-day engagement. Assume the panel includes all users, inactive days count ...
Design and Validate Initial Restaurant Recommendation Model
Design and Validate an Initial Restaurant Recommendation Model You are designing a first-iteration machine-learning model to recommend restaurants to ...
Calculate Video Call Usage Metrics by Country and Date
video_calls +---------+-----------+------------+---------+----------+ | caller | recipient | ds | call_id | duration | +---------+-----------...
Advertising for local businesses boosting popular posts
Boosting Popular Posts for Local SMBs You are evaluating an experiment where small local businesses can pay to boost their popular organic posts. Defi...
Evaluate the Success of Instagram Checkout
Evaluating Instagram Checkout Instagram Checkout allows users to discover products, add to cart, pay, and manage post-purchase flow without leaving In...
Product Metrics & Debugging Scenarios
Product Metrics and Debugging Scenarios You are a PM candidate evaluating data, metrics, and operational plans for large-scale consumer products. Answ...
Design Parking for Google Maps
Design a parking-finding experience for Google Maps. Assume the product goal is to help drivers reduce uncertainty and wasted time when parking near a...