Whether you’re a job hunter looking for a new opportunity to apply your SQL skills or a hiring manager who is going to interrogate a candidate for a job opening in your company, knowing common SQL interview questions and answers is a must. Next, we’ll examine 40 essential SQL interview questions and answers for beginners. These will cover the basics of SQL, such as what it is, its applications, SQL statements, SQL commands, and types of SQL queries, among others.
Now, let’s move on to the technical SQL interview questions and some potential answers to them. When answering technical questions, the best strategy is to give as precise answers as possible. It may look like an attempt to deviate from the main topic. In addition, it may provoke additional questions about which you can feel less confident.
SQL stands for Structured Query Language, and it’s a programming language used for interaction with relational database management systems (RDBMS). This includes fetching, updating, inserting, and removing data from tables.
The various versions of SQL, both free and paid, are also called SQL dialects. All the flavors of SQL have a very similar syntax and vary insignificantly only in additional functionality. Some examples are Microsoft SQL Server, PostgreSQL, MySQL, SQLite, T-SQL, Oracle, and MongoDB.
Using SQL, we can: (1) create, delete, and update tables in a database; (2) access, manipulate, and modify data in a table; (3) retrieve and summarize the necessary information from a table or several tables; (4) add or remove certain rows or columns from a table. Overall, SQL allows querying a database in multiple ways. In addition, it easily integrates with other programming languages, such as Python or R, so we can use their combined power.
An SQL statement is also known as an SQL command. It’s a string of characters interpreted by the SQL engine as a legal command and executed accordingly. Some examples of SQL statements are SELECT, CREATE, DELETE, DROP, REVOKE, and so on.
A database is a structured storage space, where the data is kept in many tables and organized so that the necessary information can be easily fetched, manipulated, and summarized.
DBMS stands for Database Management System, a software package used to perform various operations on the data stored in a database, such as accessing, updating, wrangling, inserting, and removing data. There are various types of DBMS, such as relational, hierarchical, network, graph, or object-oriented. These types are based on the way the data is organized, structured, and stored in the system.
RDBMS stands for Relational Database Management System. It’s the most common type of DBMS used for working with data stored in multiple tables related to each other by means of shared keys. The SQL programming language is designed to interact with RDBMS. Some examples of RDBMS are MySQL, PostgreSQL, Oracle, MariaDB, etc.
A table is an organized set of related data stored in a tabular form, i.e., in rows and columns. A field is another term for a column of a table.
A query is a piece of code written in SQL to access or modify data from a database. There are two types of SQL queries:
A subquery is also called an inner query, a query placed inside another query, or an outer query. A subquery may occur in the clauses such as SELECT, FROM, WHERE, UPDATE, etc. It’s also possible to have a subquery inside another subquery. The innermost subquery is run first, and its result is passed to the containing query (or subquery).
A set of conditions defining the type of data that can be input into each column of a table. Constraints ensure data integrity in a table and block undesired actions.
A clause used to combine and retrieve records from two or multiple tables. SQL tables can be joined based on the relationship between the columns of those tables.
A column (or multiple columns) of a table to which the PRIMARY KEY constraint was imposed to ensure unique and non-null values in that column. In other words, a primary key is a combination of the NOT NULL and UNIQUE constraints. The primary key uniquely identifies each record of the table. Each table should contain a primary key and can’t contain more than one primary key.
A column (or multiple columns) of a table to which the UNIQUE constraint was imposed to ensure unique values in that column, including a possible NULL value (the only one).
A column (or multiple columns) of a table to which the FOREIGN KEY constraint was imposed to link this column to the primary key in another table (or several tables). The purpose of foreign keys is to keep connected various tables of a database.
A special data structure related to a database table and used for storing its important parts and enabling faster data search and retrieval. Indexes are especially efficient for large databases, where they significantly enhance query performance.
A collection of database structural elements such as tables, stored procedures, indexes, functions, and triggers. It shows the overall database architecture, specifies the relationships between various objects of a database, and defines different access permissions for them.
A human-readable clarification of what a particular piece of code does. SQL code comments can be single-line (preceded by a double dash –) or span over multiple lines (as follows: /comment_text/). When the SQL engine runs, it ignores code comments. The purpose of adding SQL code comments is to make the code more comprehensive for those people who will read it in the future.
A reserved character, a combination of characters, or a keyword used in SQL queries to perform a specific operation. SQL operators are commonly used with the WHERE clause to set a condition (or conditions) for filtering the data.
A temporary name given to a table (or a column in a table) while executing a certain SQL query. Aliases are used to improve the code readability and make the code more compact. An alias is introduced with the AS keyword:
1 | SELECT col_1 AS column |
A condition imposed on a SQL query to filter the data to obtain the desired result. Some examples are WHERE, LIMIT, HAVING, LIKE, AND, OR, ORDER BY, etc.
The most common ones are FROM, GROUP BY, JOIN, WHERE, ORDER BY, LIMIT, and HAVING.
Using the CREATE TABLE statement. For example, to create a table with three columns of predefined datatypes, we apply the following syntax:
1 | CREATE TABLE table_name |
Using the UPDATE statement. The syntax is:
1 | UPDATE table_name |
Using the DROP TABLE statement. The syntax is:
1 | DROP TABLE table_name; |
Using the COUNT() aggregate function with the asterisk passed as its argument:
1 | SELECT COUNT(*) FROM table_name; |
Using the ORDER BY statement:
1 | SELECT * FROM table_name |
We can specify that we need a descending order using the DESC keyword. Otherwise, the order will be ascending by default. Also, we can sort by more than one column and specify for each one, ascending or descending order separately. For example:
1 | SELECT * FROM table_name |
Using the asterisk * with the SELECT statement. The syntax is:
1 | SELECT * FROM table_name; |
Using the INTERSECT statement:
1 | SELECT * FROM table_1 |
This statement is used with the SELECT statement to filter out duplicates and return only unique values from a column of a table. The syntax is:
1 | SELECT DISTINCT col_1 |
An entity is a real-world object, creature, place, or phenomenon for which the data can be gathered and stored in a database table. Each entity corresponds to a row in a table, while the table’s columns describe its properties. Some examples of entities are bank transactions, students in a school, cars sold, etc.
Relationships are the connections and correlations between entities, basically meaning how two or more tables of a database are related to one another. For example, we can find an ID of the same client in a table on sales data and in a customer table.
A NULL value indicates the absence of data for a certain cell of a table. Instead, zero is a valid numeric value, and an empty string is a legal string of zero length.
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