SQL Quizzes

Explore key SQL date and time handling concepts, including extracting components, formatting, arithmetic, and filtering, with practical examples inspired by Snowflake SQL usage. This quiz covers common interview topics for data analysts and engineers on manipulating dates and timestamps using SQL.

Test your understanding of foundational SQL concepts and strategies with these beginner-friendly questions inspired by real interview scenarios.

Sharpen your understanding of common SQL interview questions focused on purchase data analysis, filtering, group aggregation, and date logic. Perfect for candidates targeting data science, analytics, and engineering roles who want to master key SQL concepts tested in technical interviews.

Test your knowledge of SQL fundamentals with these 15 easy questions covering common SQL interview topics such as JOINs, ranking functions, filtering, and aggregation. Ideal for candidates preparing for SQL interviews and anyone wanting to boost their SQL basics.

Test your knowledge of SQL fundamentals, functions, joins, optimization, and advanced concepts with this beginner-friendly quiz designed for aspiring data engineers. Strengthen your SQL skills with real-world questions suitable for interview preparation.

Test your knowledge of SQL basics and data engineering interview concepts with this quiz. Explore questions designed to help you practice SQL syntax, query logic, joins, data modeling, and practical problem-solving skills for real-world data engineering scenarios.

Test your SQL skills with questions on SELECT statements, joins, aggregations, window functions, and data cleaning queries. This quiz is designed for aspiring data analysts who want to prepare for interviews and demonstrate strong SQL proficiency in handling real-world datasets.

Test your knowledge of SQL fundamentals and basic data manipulation concepts often asked in junior data science interviews. This quiz covers key SQL topics, including query writing, aggregation, data filtering, and joining tables, to help you assess your readiness for a data science role.

This quiz covers fundamental SQL concepts, focusing on SELECT statements, WHERE clauses, and basic aggregate functions, essential for roles in data analysis. Test your understanding of SQL syntax and best practices to prepare for a data-focused career.

Challenge your understanding of SQL queries with this beginner-friendly quiz focused on common interview topics such as selecting unique values, table joins, and data ordering using a hospital database schema. Strengthen your skills in interpreting table relations, essential SQL functions, and logic relevant to healthcare data scenarios.

Test your knowledge of essential JavaScript scenarios with this easy, interview-oriented quiz. Assess your understanding of JavaScript event loop, microtasks, memory leaks, and best practices—all relevant for developers preparing for 2025 challenges.

Test your basic understanding of common SQL queries frequently discussed in interviews, including filtering, aggregation, and analytic functions.

Strengthen your SQL foundation with approachable questions on joins, subqueries, window functions, and indexing basics. This quiz is designed for learners preparing for interviews who want to get comfortable with advanced concepts through easy, step-by-step practice.

Practice calculating month-over-month percent changes using window functions, date grouping, and aggregations. This quiz is designed for learners who want an easy introduction to analytical SQL patterns commonly asked in interviews and real-world reporting tasks.

Explore the essentials of JavaScript promises with questions on async behavior, chaining, error handling, and common pitfalls. This quiz is designed for learners preparing for interviews who want to strengthen their understanding of promises in modern asynchronous programming.

Test your understanding of relational database design with questions on keys, normalization, relationships, and schema structuring. This quiz is designed for learners who want to strengthen their foundation in database modeling and prepare for interviews or practical data projects.