SQL + Data Manipulation (SQL/Python) Interview Questions
Practice the exact questions companies are asking right now.
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Solve library SQL and Python tasks
You are given a library domain. Assume these tables: - books(book_id, author_id, title) - authors(author_id, name) - copies(copy_id, book_id, conditio...
Compute reservation diff for largest member
Given copies(copy_id, reserved_by_member_id) and members(member_id, referred_by_member_id), find the member with the largest member_id. Return a singl...
Compute costs with validation and sorting in Python
Implement a three-part Python task to compute costs for purchase line items. Part 1: Write compute_cost(line_items, price_db) where line_items is a li...
Generate user notifications from schedules
Given a schedule template format and user profile data (timezone, locale, delivery preferences), implement a program that generates a user notificatio...
Implement Spring MVC to find top-enrolled course
Implement a Spring MVC service that returns the course with the highest number of enrolled students from a relational database pre-populated by provid...
Implement 2D convolution using NumPy slicing
Implement 2D convolution on a 4×4 input and a 3×3 filter with stride 1 using NumPy. Avoid explicit Python loops by relying on array slicing, broadcast...
Write Postgres string parsing and aggregation query
You are given a PostgreSQL table events(user_id TEXT, raw TEXT) where raw stores pipe-delimited key=value pairs, for example 'user=U1|country=US|ts=20...
Find customer with max rentals in consecutive weeks
You are given a table purchases(customer_id INT, purchase_date DATE, rented_copies INT). Consider only dates in calendar year 2024. Define a full week...
Compute most popular location with weights
You are given a dataset of voting records for concert locations. Each record includes voter_id, location_text, and an optional numeric weight (default...
Implement scalable word count locally
Write a function that reads a very large text file and outputs the frequency of each word. Define your tokenization and normalization rules (case fold...
Compute reply-based engagement metrics
You work on a microblogging app (Twitter-like). Posts and replies are stored in the tables below. Tables all_post - post_id BIGINT PK - post_author_id...
Find users with multi-country successful logins
Given a table login_attempts with columns: user_id (TEXT), timestamp (TIMESTAMP), status (TEXT), and country (TEXT), write an SQL query to return the ...
Fetch and aggregate paginated team data via API
Implement a function getTopTeams(baseUrl, n) that calls a paginated HTTP API returning a JSON array of team objects on each page: [{"name": string, "w...
Count sports by calendar quarter in SQL
You are given a table games(date DATE, team_name TEXT, sport_name TEXT). Write a SQL query that returns, for each year and calendar quarter (Q1–Q 4), ...
Compute nearest index within threshold after walking distances
You are given: ( 1) points: a list of N 2D coordinates in miles, points[i] = [x_i, y_i], ordered; ( 2) distances: a list of M nonnegative floats (mile...
Manipulate time-series with Pandas groupby
Given a DataFrame events(user_id, event_type, ts_utc, revenue): 1) Parse ts_utc as timezone-aware, convert to America/Los_Angeles, and handle DST tran...
Compute courier pay with peak-hour rules
Implement compute_pay(deliveries) to calculate a delivery driver's daily pay from a list of delivery records. Each record may include times, miles, ba...
Parse logs and query by time
Implement a parser that converts raw log lines into structured records with fields {timestamp, level, message}. Build an API to support: (a) insert(lo...
Aggregate Netflix metrics in SQL
Question Netflix video-streaming analytics SQL: Write a simple aggregation (e.g., total watch-time per day). Build a cumulative metric: today’s metric...
Query carpool ride metrics
Question For a ride-sharing product with carpool capability, answer a series of SQL questions (e.g., daily completed pooled rides, average seats utili...