SQL + Data Manipulation (SQL/Python) Interview Questions
Practice the exact questions companies are asking right now.
"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 Medical Claims by Age and Gender in 2024
MEMBERSHIP +----+----------+--------+---------+ | id | age_band | gender | zipcode | +----+----------+--------+---------+ | 1 | 18-25 | F | 9...
Calculate Monthly Revenue from Orders in 2023
orders | id | order_date | customer | |----|------------|----------| | 1 | 2023-01-03 | 101 | | 2 | 2023-02-14 | 102 | | 3 | 2023-02-20 | 101 | o...
Calculate Day-7 Retention Rate from User Post Data
post_activity +---------+------------+-------+ | user_id | post_date | posts | +---------+------------+-------+ | 1 | 2023-01-01 | 3 | | 1 ...
Compute and Rank Store Revenue by Region Using Pandas
Sales +------------+---------+------------+--------+---------+ | date | store_id| product_id | units | revenue | +------------+---------+------...
Identify Top Users with Declined Transactions in SQL
Transactions +----------------+---------+--------+----------+---------------------+ | transaction_id | user_id | amount | status | timestamp ...
Answer SQL MCQs with reasoning
Answer multiple-choice questions covering SQL topics: INNER vs LEFT vs RIGHT JOIN semantics; GROUP BY and HAVING; NULL handling in comparisons and agg...
Recommend two-hop follows in Python
Given a directed "follows" graph as a Python dict[str, list[str]], implement recommend_two_hop(graph, user) that returns the set (or a sorted list) of...
Compute invalid event percentage by pixel
Context You work on an ads pixel instrumentation platform. Each pixel emits events throughout the day; some events are missing (not observed) and some...
Return top-3 content per category
Given a collection of items with fields (content_id, category, rating), implement top_k_by_category(items, k= 3) that returns, for each category, the ...
Pivot data without date libraries
Transform a tall dataset into a wide, pivoted view without using any date/time libraries. Input: a list of records (date, store_id, metric, value) whe...
Process CSV for portfolio returns and metrics
Given one or more CSV files containing daily asset prices or returns and optional portfolio weights, write Python (pandas) code to: a) load, clean, an...
Compute unique visitors by department
You have two tables: products(product_id, department, category, subcategory) where department > category > subcategory form a parent–child hierarchy, ...
Create SQL report of top extensions by weekday
You are given a PostgreSQL table service_access_log with columns: method TEXT (HTTP verb), path TEXT (URL path that may include a filename and optiona...
Count IoT devices matching date and threshold
Implement function numDevices(statusQuery, threshold, dateStr) that returns the number of IoT devices from a paginated REST API that were added in the...
Write SQL for rolling default rates
Write a SQL query to compute 12‑month rolling default rates by customer segment. Assume table loans(month DATE, segment TEXT, defaults INT, accounts I...
Implement and debug event filtering in Python
You are given a list of event dictionaries with keys: id (str), type (str), ts (int, seconds since epoch), payload (dict). Implement filter_events(eve...
Write complex SQL for cohorts and retention
Given tables users(uid, created_at, country), orders(order_id, uid, amount, created_at, status), and events(uid, ts, event_type, campaign), write one ...
Explain a SQL query result
Given two tables and a specific SQL query, precisely explain the expected result set: which rows are returned, what each column contains, how joins/fi...
Debug a Hive insert query
Given a Hive table schema and an incoming table plus an INSERT/SELECT statement meant to inject data, identify why the query fails and provide step-by...
Write SQL and Python for data prep
Given clickstream events (user_id, event_type, ts, properties) and a users table (user_id, signup_ts, plan), write SQL to compute DAU/WAU/MAU, D1/W1 r...