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Top 50 Essential SQL Interview Questions

Photo de Romain DE LA SOUCHÈRE

Tech Lead, CTO AXI Technologies

Published on 24 septembre 2024 · 18 min of reading

Top 50 essential SQL interview questions

In the competitive world of technology, mastering SQL (Structured Query Language) is essential for database management professionals, data analysts, and developers. Whether you are a beginner looking to land your first job or an experienced professional seeking to improve your skills, understanding the common questions asked in SQL interviews can greatly increase your chances of success.
This article is designed to provide you with a comprehensive list of the top 50 essential SQL interview questions, categorized by difficulty level and type. By familiarizing yourself with these questions, you will be better prepared to respond effectively and impress your future employers.

Why is SQL important?

SQL is the standard language used to interact with relational databases. It allows for various operations, such as retrieving, inserting, updating, and deleting data. Mastering SQL is crucial as it enables you to manage and manipulate data efficiently, which is essential for making informed decisions in any organization.

Who is this article for?

Whether you are a complete beginner or have some experience with SQL, this article is for you. We have structured the questions to cover all skill levels, from the basics to advanced commands, including complex queries. You will also find practical tips for answering interview questions and concrete examples for each type of question.

Article structure

The article is divided into several sections for easier reading and understanding:
  1. General questions for beginners: This section covers the fundamentals of SQL and is intended for those just starting to familiarize themselves with the language.
  2. Technical questions for beginners: Here, we address more specific questions about using SQL in practical scenarios.
  3. Essential intermediate questions: This section is dedicated to those who already have a basic understanding of SQL and wish to deepen their knowledge.
  4. Advanced SQL commands: We explore more sophisticated commands and their use in professional contexts.
  5. Complex queries and functions: This section focuses on complex SQL queries and advanced functions, often asked in technical interviews.
  6. Summary of key questions: A recap of the most important questions to know before going into an SQL interview.
By the end of this article, you will have a clear understanding of the types of questions you may encounter in an SQL interview and how to answer them effectively. Get ready to impress your future employers with your mastery of SQL!

General questions for beginners

1. What is SQL?

SQL, short for Structured Query Language, is a standard language used to interact with relational databases. It allows you to create, read, update, and delete data in a database. SQL is essential for anyone working with data, as it provides an efficient and standardized way to manage and manipulate that data.

2. What is a relational database?

A relational database is a type of database that organizes data into tables. Each table contains rows and columns, where each column represents a data attribute and each row represents a unique record. Relational databases use SQL to manage and query data.

3. What is a table in SQL?

A table is a data structure in a relational database that organizes information into rows and columns. Each column has a specific data type, and each row represents a unique record. For example, a table Employees might have columns for ID, Name, Position, and Salary.

4. What is a primary key?

A primary key is a column or a set of columns in a SQL table that uniquely identifies each record in that table. Primary keys must be unique and cannot contain NULL values. For example, in an Employees table, the ID column could be used as a primary key.

5. What is a foreign key?

A foreign key is a column or set of columns in a table that creates a relationship with a primary key in another table. Foreign keys are used to maintain referential integrity between tables in the database. For example, an Employees table might have a foreign key DepartmentID that refers to the primary key ID in a Departments table.

6. What is an SQL query?

An SQL query is an instruction used to interact with a database. Queries can be used to retrieve data, insert new data, update existing data, or delete data. For example, the query SELECT * FROM Employees retrieves all rows from the Employees table.

7. What is SELECT in SQL?

The SELECT command is used to retrieve data from a database. It allows you to specify the columns you want to see in the result and the conditions for filtering the data. For example, SELECT Name, Position FROM Employees WHERE Salary > 50000 retrieves the names and positions of employees whose salary is greater than 50,000.

8. What is a join in SQL?

A join is an SQL operation that combines records from two or more tables based on a common condition. There are several types of joins, such as inner join (INNER JOIN), outer join (OUTER JOIN), and cross join (CROSS JOIN). For example, an inner join between the Employees and Departments tables could be performed with the command:
sql

9. What is an index in SQL?

An index is a data structure that improves the speed of data retrieval operations on a table. Indexes are created on specific columns to allow faster searches. For example, the following command creates an index on the Name column of the Employees table:
sql

10. What is a view in SQL?

A view is a virtual table based on the result of an SQL query. It allows you to simplify complex queries, restrict access to sensitive data, and present data from different perspectives. For example, a EmployeesView could be created as follows:
sql

Technical questions for beginners

1. How to insert data into a table?

Inserting data into a SQL table is done using the INSERT INTO command. This command allows you to add new rows to a table. Here is the general syntax:
sql
For example, to insert a new employee into the Employees table, you would use the following command:
sql

2. How to update data in a table?

Updating data in a SQL table is done with the UPDATE command. This command allows you to modify existing records in a table. Here is the general syntax:
sql
For example, to update Jean Dupont's salary, you would use the following command:
sql

3. How to delete data from a table?

Deleting data from a table is done with the DELETE command. This command allows you to remove specific rows from a table. Here is the general syntax:
sql
For example, to delete Jean Dupont's record from the Employees table, you would use the following command:
sql

4. How to filter data with the WHERE clause?

The WHERE clause is used to filter records based on a specified condition. It can be used with the SELECT, UPDATE, and DELETE commands. Here is an example using the SELECT command:
sql
This command retrieves all employees whose salary is greater than 50,000.

5. How to sort results with the ORDER BY clause?

The ORDER BY clause is used to sort the results of an SQL query by one or more columns. By default, results are sorted in ascending order. Here is an example:
sql
This command retrieves all employees and sorts them by salary in descending order.

6. How to limit the number of results with the LIMIT clause?

The LIMIT clause is used to specify the maximum number of rows that the query should return. Here is an example:
sql
This command retrieves the first five records from the Employees table.

7. How to use column aliases with the AS clause?

The AS clause is used to rename columns or tables in the result of an SQL query. Here is an example:
sql
This command renames the Name and Position columns to EmployeeName and EmployeePosition in the query results.

8. How to use aggregate functions like COUNT, AVG, and SUM?

Aggregate functions are used to perform calculations on a set of values and return a single value. Here are common examples:
  • COUNT(*): Counts the total number of rows.
  • AVG(Salary): Calculates the average salary.
  • SUM(Salary): Calculates the total salary.
For example, to calculate the total salary in the Employees table, you would use the following command:
sql

Essential intermediate questions

1. What is a subquery in SQL?

A subquery, or nested query, is an SQL query placed inside another SQL query. Subqueries can be used to perform more complex operations and to filter results based on the results of another query. Here is an example:
sql
This command retrieves the names of employees whose salary is greater than the average salary.

2. What is GROUP BY in SQL?

The GROUP BY clause is used to group rows that have the same values in specified columns. It is often used with aggregate functions like COUNT, SUM, AVG, etc. Here is an example:
sql
This command counts the number of employees in each department.

3. How to use HAVING with GROUP BY?

The HAVING clause is used to filter groups created by the GROUP BY clause. It is similar to the WHERE clause, but applies to groups rather than individual rows. Here is an example:
sql
This command retrieves departments where the average salary is greater than 50,000.

4. What is a unique index?

A unique index is a constraint that ensures all values in a column or set of columns are unique. This means no duplicate values are allowed. Here is how to create a unique index:
sql
This unique index ensures that employee names are unique.

5. How to manage transactions in SQL?

Transactions are used to manage operations that must be executed atomically. A transaction starts with BEGIN, ends with COMMIT to validate changes or ROLLBACK to undo changes. Here is an example:
sql
This transaction increases the salaries of employees in department 1 by 1,000 and deletes employees with a salary below 30,000, then commits the changes.

6. What is a window function in SQL?

Window functions perform calculations across a set of rows related to the current row. They are used with the OVER() clause. Here is an example to calculate the rank of employees based on their salary:
sql
This command assigns a rank to employees based on their salary, from highest to lowest.

Advanced SQL commands

1. Using triggers

Triggers are database objects that automatically execute when a specified event occurs on a table. They are useful for maintaining data integrity and automating certain tasks. Here is an example of creating a trigger that fires after an insert into the Employees table:
sql
This trigger adds an entry to the EmployeeHistory table every time a new record is inserted into the Employees table.

2. Using materialized views

A materialized view is a view that physically stores the results of a query. This can improve performance for complex queries. Here is how to create a materialized view:
sql
This materialized view calculates and stores the average salary by department.

3. Using CTE (Common Table Expressions)

CTEs are SQL constructs that allow you to create temporary tables to simplify complex queries. They are defined using the WITH clause. Here is an example:
sql
This query uses a CTE to calculate the average salary by department, then joins this CTE to the Employees table.

4. Using user-defined functions (UDF)

UDFs allow you to create custom functions in SQL. They are useful for encapsulating complex logic that can be reused in multiple queries. Here is an example of creating a function that calculates an employee's tenure:
sql
This function returns the number of years since an employee's hire date.

5. Advanced transactions

Advanced transactions allow for managing complex operations involving multiple steps. They use savepoints (SAVEPOINT) and the ROLLBACK TO command to undo specific parts of a transaction. Here is an example:
sql
This transaction increases the salaries of employees in department 1 by 1,000, then creates a savepoint. It then attempts to delete employees with a salary below 30,000 but rolls back that deletion to the savepoint point1 while committing the salary increase.

Complex queries and functions

1. Queries with correlated subqueries

Correlated subqueries are subqueries that refer to columns from the main query. They are executed for each row of the main query. Here is an example:
sql
This query retrieves employees whose salary is greater than the average salary of their department.

2. Using analytic functions

Analytic functions, or window functions, allow you to perform calculations on a set of rows related to the current row. Here is an example using the ROW_NUMBER function to assign a rank to employees based on their salary:
sql
This query assigns a rank to each employee based on their salary, from highest to lowest.

3. Queries with multiple joins

Multiple joins allow you to combine data from several tables into a single query. Here is an example combining three tables: Employees, Departments, and Projects:
sql
This query retrieves the names of employees, departments, and associated projects.

4. Using aggregate functions with GROUP BY

Aggregate functions like SUM, AVG, and COUNT are often used with the GROUP BY clause to group results. Here is an example calculating the total salary by department:
sql
This query calculates the total salary for each department.

5. Creating user-defined functions (UDF)

UDFs allow you to create custom functions for performing reusable calculations. Here is an example of creating a function that calculates the annual bonus based on salary:
sql
This function returns 10% of the salary as an annual bonus.

6. Recursive queries with CTE

Common Table Expressions (CTEs) can be recursive, which is useful for operations like traversing graphs or hierarchies. Here is an example of a recursive CTE to display the employee hierarchy:
sql
This query displays the employee hierarchy starting from top-level managers.

Summary of key questions

1. What is SQL and why is it important?

SQL, or Structured Query Language, is the standard language for interacting with relational databases. It allows you to create, read, update, and delete data. Mastering SQL is essential as it enables you to manage and manipulate data efficiently and in a standardized way.

2. What is a relational database?

A relational database organizes data into tables, composed of rows and columns. Each column represents a data attribute, and each row represents a unique record. Relational databases use SQL to manage and query data.

3. What is a primary key and a foreign key?

A primary key is a column or a set of columns that uniquely identifies each record in a table. It must be unique and not null. A foreign key is a column or set of columns that creates a relationship with a primary key in another table, ensuring referential integrity between tables.

4. How to use basic SQL commands?

  • INSERT INTO to add data.
  • UPDATE to modify existing data.
  • DELETE to remove data.
  • SELECT to retrieve data, often used with clauses like WHERE for filtering, ORDER BY for sorting, and LIMIT for limiting results.

5. What is a join in SQL?

A join combines records from two or more tables based on a common condition. Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

6. What is a subquery and an aggregate function?

A subquery is a nested query within another query. Aggregate functions, such as COUNT, SUM, and AVG, perform calculations over a set of values and return a single value.

7. How to use transactions in SQL?

Transactions allow you to group multiple operations into a single unit of work. They start with BEGIN, end with COMMIT to validate changes, or ROLLBACK to undo changes. Savepoints (SAVEPOINT) allow rolling back to an earlier state in the transaction.

8. What is a window function and a CTE?

Window functions perform calculations on a set of rows related to the current row. Common Table Expressions (CTEs) create temporary tables to simplify complex queries and can be recursive for hierarchical operations.

9. How to use triggers and materialized views?

Triggers execute automatically upon specified events on a table, while materialized views physically store the results of a query to improve performance for complex queries.

Conclusion

By reviewing these essential SQL interview questions, you are not only preparing to succeed in your interviews but also reinforcing your understanding and mastery of SQL. Whether you are a beginner or an experienced professional, it is crucial to understand the different facets of SQL and be able to apply this knowledge in real-world scenarios.

The importance of practice

Theory alone is not enough. Regular practice is essential to master SQL. Use test databases to execute queries, test subqueries, and experiment with functions and transactions. The more you practice, the more comfortable you will be answering interview questions and solving complex problems.

Additional resources

To go further, here are some useful resources:
  • Official documentation: Documentation from database management systems like MySQL, PostgreSQL, and SQL Server are invaluable resources.
  • Online courses: Platforms like Coursera, Udemy, and edX offer comprehensive SQL courses for all levels.
  • Forums and communities: Participating in forums like Stack Overflow, Reddit, and LinkedIn groups can help you solve problems and learn from others.

Interview tips

  1. Understand the basics: Make sure you thoroughly understand fundamental concepts such as primary and foreign keys, joins, and the WHERE and GROUP BY clauses.
  2. Prepare examples: Have concrete examples ready to explain how you used SQL to solve specific problems in your past experiences.
  3. Be clear and concise: In your responses, be precise and avoid digressions. Show that you can explain complex concepts simply.
  4. Don't be afraid to clarify: If a question is unclear, don't hesitate to ask for clarification. This shows that you are attentive and care about understanding before responding.
  5. Practice common questions: Use this list of 50 questions to practice. By familiarizing yourself with the types of questions asked, you will gain confidence and competence.

Conclusion

Mastering SQL is a valuable skill that opens many career opportunities. By preparing with these questions and practicing regularly, you will be well-equipped to succeed in your interviews and excel in your professional roles. Good luck and continue to learn and improve!

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Photo de Romain DE LA SOUCHÈRE

Romain DE LA SOUCHÈRE

Tech Lead, CTO AXI Technologies

Expert Data Engineering et Cloud, Romain affiche plus de 11 ans d'expérience, dont plusieurs années comme Lead Developer sur des solutions Smart Building haute performance. Il y a conçu et mis en production des moteurs de traitement capables d'absorber des centaines de milliers de données de capteurs par minute, ainsi que des bases clusterisées gérant plus de 10 millions de données dynamiques. Certifié Microsoft Azure DevOps Engineer Expert, il maîtrise aussi bien le développement back-end (Python, C#) que le DevOps (Docker, Kubernetes, Terraform) et les agents LLM. Formateur en Python, cloud, DevOps et IA générative appliquée, il forme avec une obsession : Amener chaque apprenant à concevoir et déployer des architectures réellement scalables en production.

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