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The most common and helpful SQL interview questions and answers for both new and seasoned candidates are included below. These inquiries were made to expressly acquire you with the kinds of queries you would encounter throughout your SQL interview.
HeroVired’s observations show that effective interviewers infrequently prepare questions on a predetermined subject before the interview. As an alternative, questions typically start with a fundamental understanding of the issue, and subsequent discussion follows depending on what you say.
SQL is abbreviated for Structured Query Language. It is considered the default language for RDBMS and helps manage structured data that comes with variables or entities with relationships between them. SQL is typically used for interacting with databases.
According to ANSI, SQL is designed to manage RDBMS and carry on various data manipulation activities on various sorts of data. To be precise, it’s a database language leveraged to create or delete databases.
Even after 50 years of its existence, SQL is still widely used due to its effectiveness. Relational databases were created to address a concern or need. Since SQL was designed to interact with such databases, it swiftly took over as the standard language.
SQL and Relational databases are commonly used interchangeably. It is one of the reasons why RDBMS are frequently referred to as SQL databases.
Making an attempt to remake the wheel would be pointless, right? SQL and relational databases are similar in that both aren’t going anywhere since they function flawlessly.
Together, these two techniques guarantee the continued reliability of a large number of technologies, including structured web architecture, back-end technologies that enable enterprises to operate smoothly, and more.
This blog includes SQL interview questions and answers for topics like MS SQL Server, MySQL databases, etc., from novices to seasoned pros. It is a one-stop shop where you may get the most advantages and prepare quickly for job interviews.
Take a look at the top SQL query interview questions being used by employers right now:
SQL is the industry standard language for retrieving and modifying structured databases. In contrast, MySQL is a popular RDBMS (relational database management system) that is leveraged to handle or deal with SQL databases.
SQL comes with four different subsets. These include the following:
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To collect and process data, a DBMS (Database Management System) interfaces with the user, other programs, and the database itself.
A DBMS enables seamless communication between the databases and the users. Any sort of data, including photos, numbers, strings, etc., can be saved within the database and can be retrieved, edited, or deleted.
Typically, there are two types of DBMS:
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RDBMS stands for Relational Database Management System. The primary distinction between DBMS and RDBMS is that relations can be established between the shared attributes of these tables.
And that’s how RDBMS performs data storage in contrast to DBMS. RDBMS is the foundation of the majority of contemporary database management systems, including Amazon Redshift, IBM DB2, Oracle, Microsoft SQL Server, and MySQL.
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There are four types of SQL joins, which are as follows:
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A SELECT statement retrieves 0–n rows from n–tables or n–views of a database. Most programs use the SELECT command, which is the most common DML or data manipulation language command.
Due to the declarative nature of SQL as a programming language, SELECT queries only declare the result set rather than how to compute it.
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Here are some common clauses used with SELECT queries in SQL:
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While a unique key can have a null value, a primary key cannot. Both unique and primary keys hold unique values. The number of primary keys in a table is limited to one, whereas the number of unique keys is unlimited.
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Here is a table representing the key differences between clustered and non-clustered indexes:
Basis | Clustered Index | Non-Clustered Index |
---|---|---|
Required For | Filtering and storing records in memory physically | Making a logical order or sequence for data rows |
Storage Methods | Data storage within the index’s leaf nodes | Data storage isn’t possible in the index’s leaf nodes |
Access to Data | Fast | Slow |
Size | Considerably large | Comparatively small |
Extra Disk Space | Not Necessary | Needed to store indexes distinctly |
Primary Feature | Enhances data retrieval performance | Must be created on columns utilized in joins |
Key Type | The table’s primary key is, by default, a clustered index | It may be utilized with the distinct constraint on the table that serves the purpose of a composite key |
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Database managers deploy the denormalization approach to boost the effectiveness of their database system. The normalization concept—which is described as properly organizing a database into tables for a specific purpose—is the foundation of the denormalization idea.
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TRUNCATE | DELETE |
---|---|
It is used to delete each and every row from the table. | This command is utilized for deleting or removing a row in the table. |
This is a DDL command | This is a DML command |
It is quicker than DELETE | It is slower than TRUNCATE |
Doesn’t allow rollback of data | Allows rollback of data |
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The following are the various types of SQL operators:
SQL Operators | Examples |
---|---|
Arithmetic Operators | +, -, *, /, etc. |
Logical Operators | AND, IN, ISNULL, BETWEEN, NOT, ALL, etc. |
Comparison Operators | =, != or <>, >=, !>, etc. |
Bitwise Operators | NOT (~), AND (& symbol), OR (|, ^), etc. |
Compound Operators | +=, -=, /=, *=, etc. |
String Operators | += (String concatenation assignment), [^] (Character(s) not to match), etc. |
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A view in SQL is a database object without any values. A portion of the data in the table is contained in this virtual table. It appears to be a real table with columns and rows, but since it is not physically there, it takes up less room. Although it doesn’t have any data of its own, it operates in a manner the same as the base table.
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The usage of SQL Comments allows for the clarification of certain SQL statement clauses as well as the blocking of SQL statement execution. In numerous database programming languages, comments play a significant role.
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SQL indexes are merely methods used for reducing the cost of the query. The performance of the query declines as the cost increases. The different types of indexes that SQL supports are as follows:
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SQL functions are a series of SQL commands that carry out a certain operation. Functions promote code reuse.
You can construct a function to carry out the same action if you need to write long SQL scripts daily for it. Instead of writing a new SQL every time, you can simply call that function the following time.
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There are various types of relationships in SQL, which are as follows:
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With the help of SQL expertise, data analysts can create, maintain, and retrieve data from relational databases – the one that organizes data into rows and columns. Thanks to this, users can also quickly obtain, manipulate, update, insert, and change data.
The most basic skills that an SQL expert should possess include the following:
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Normalization enables seamless data structuring and organizing in a database. This includes developing tables and interlinking those together based on the principles and guidelines intended to protect the data and enhance the database’s adaptability by eliminating inconsistent reliance and duplication.
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A primary key typically emphasizes the table’s uniqueness. It guarantees that the value in that particular column is distinct or unique. Typically, a foreign key is utilized to establish a connection between the two tables. A table can consist of only a single primary key.
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NoSQL | SQL |
---|---|
Distributed or Non-Relational Database System | RDBMS or Relational Database Management System |
These types of databases are ideal for storing hierarchical data. | These types of databases are not suitable for storing hierarchical data. |
Horizontally scalable | Vertically scalable |
Dynamic schema | Predefined or static or fixed schema |
Not suitable for complex queries | Ideal for complex queries |
Adheres to CAP property | Adheres to the ACID property |
Examples include GraphQL, MongoDB, Neo4j, etc. | Examples include PostgreSQL, MySQL, Oracle, etc. |
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A function in SQL is obligated to return a value. However, the same is optional in Stored Procedure. While functions can only come with input parameters, stored procedures can have both output and input parameters.
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Subqueries are a technique for carrying out tasks in a number of phases. They are sometimes referred to as nested or inner queries. For instance, you would need to perform each aggregation in a separate phase if you wished to compute the sums of numerous columns and then aggregate all of those figures.
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Founded in 1986, PostgreSQL was initially known as Postgres. It was created to make systems fault-resistant and support data integrity. This helped developers in creating enterprise-level applications.
Eventually, PostgreSQL became a popular object-relational DBMS that can handle concurrent users and support variable workloads.
The worldwide development community constantly backs it, and it is now enterprise-level, versatile, reliable, and open-source. PostgreSQL has become quite well-liked among developers due to its fault-tolerance capability.
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Before executing the above-mentioned SQL statements, it is crucial to meet some specific conditions. There must be an equal number of columns within the clause of every SELECT query.
SELECT * FROM Table_A JOIN Table_B; SELECT * FROM Table_A INNER JOIN Table_B;
SELECT * FROM Table_A A LEFT JOIN Table_B B ON A.col = B.col;
SELECT * FROM Table_A A RIGHT JOIN Table_B B ON A.col = B.col;
SELECT * FROM Table_A A FULL JOIN Table_B B ON A.col = B.col;
Basis | Clustered Index | Non-Clustered Index |
Required For | Filtering and storing records in memory physically | Making a logical order or sequence for data rows |
Storage Methods | Data storage within the index’s leaf nodes | Data storage isn’t possible in the index’s leaf nodes |
Access to Data | Fast | Slow |
Size | Considerably large | Comparatively small |
Extra Disk Space | Not Necessary | Needed to store indexes distinctly |
Primary Feature | Enhances data retrieval performance | Must be created on columns utilized in joins |
Key Type | The table’s primary key is, by default, a clustered index | It may be utilized with the distinct constraint on the table that serves the purpose of a composite key |
TRUNCATE | DELETE |
---|---|
It is used to delete each and every row from the table. | This command is utilized for deleting or removing a row in the table. |
This is a DDL command | This is a DML command |
It is quicker than DELETE | It is slower than TRUNCATE |
Doesn’t allow rollback of data | Allows rollback of data |
SQL Operators | Examples |
---|---|
Arithmetic Operators | +, -, *, /, etc. |
Logical Operators | AND, IN, ISNULL, BETWEEN, NOT, ALL, etc. |
Comparison Operators | =, != or <>, >=, !>, etc. |
Bitwise Operators | NOT (~), AND (& symbol), OR (|, ^), etc. |
Compound Operators | +=, -=, /=, *=, etc. |
String Operators | += (String concatenation assignment), [^] (Character(s) not to match), etc. |
NoSQL | SQL |
---|---|
Distributed or Non-Relational Database System | RDBMS or Relational Database Management System |
These types of databases are ideal for storing hierarchical data. | These types of databases are not suitable for storing hierarchical data. |
Horizontally scalable | Vertically scalable |
Dynamic schema | Predefined or static or fixed schema |
Not suitable for complex queries | Ideal for complex queries |
Adheres to CAP property | Adheres to the ACID property |
Examples include GraphQL, MongoDB, Neo4j, etc. | Examples include PostgreSQL, MySQL, Oracle, etc. |
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