Welcome to the SQL MCQs Page

Dive deep into the fascinating world of SQL with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of SQL, a crucial aspect of DBMS. In this section, you will encounter a diverse range of MCQs that cover various aspects of SQL, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within DBMS.

Check out the MCQs below to embark on an enriching journey through SQL. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of DBMS.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of SQL. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

SQL MCQs | Page 19 of 38

Explore more Topics under DBMS

01

DBMS Basics

02

Data Models

03

The Entity Relationship Approach

04

Relational Databases

05

Data Storage and Querying

06

Relational Algebra

07

Normalization

08

Storage and File Structures

09

Indexing and Hashing

10

Transactions

11

Concurrency Control

12

Recovery System

13

Distributed Databases

14

Data Warehousing and Data Mining

15

RDBMS

16

Advanced SQL

17

SQL Queries,Constraints and Triggers

Q181.

To define what columns should be displayed in an SQL SELECT statement:

use FROM to name the source table(s) and list the columns to be shown after SELECT.

use USING to name the source table(s) and list the columns to be shown after SELECT.

use SELECT to name the source table(s) and list the columns to be shown after USING.

use USING to name the source table(s) and list the columns to be shown after WHERE.

Discuss

Answer: (a).use FROM to name the source table(s) and list the columns to be shown after SELECT.

Q182.

SQL can be used to:

create database structures only.

query database data only.

modify database data only.

All of the above can be done by SQL.

Discuss

Answer: (d).All of the above can be done by SQL.

Q183.

The SQL statement that queries or reads data from a table is ________ .

SELECT

READ

QUERY

None of the above is correct.

Discuss

Answer: (a).SELECT

Q184.

The SQL keyword BETWEEN is used:

for ranges.

to limit the columns displayed.

as a wildcard.

None of the above is correct.

Discuss

Answer: (a).for ranges.

Q185.

A subquery in an SQL SELECT statement:

can only be used with two tables.

can always be duplicated by a join.

has a distinct form that cannot be duplicated by a join.

cannot have its results sorted using ORDER BY.

Discuss

Answer: (c).has a distinct form that cannot be duplicated by a join.

Q186.

________ was adopted as a national standard by ANSI in 1992.

Oracle

SQL

Microsoft Access

DBase

Discuss

Answer: (b).SQL

Q187.

SQL is:

a programming language.

an operating system.

a data sublanguage.

a DBMS.

Discuss

Answer: (c).a data sublanguage.

Q188.

Using the SQL GROUP BY phrase with a SELECT statement can help detect which of the following problems?

The multivalue, multicolumn problem

The inconsistent values problem

The missing values problem

The general-purpose remarks column problem

Discuss

Answer: (b).The inconsistent values problem

Q189.

Which of the following SQL statements are helpful in database redesign?

Correlated subqueries only

EXISTS/NOT EXISTS expressions only

Both of the above are helpful

None of the above are helpful.

Discuss

Answer: (c).Both of the above are helpful

Q190.

What SQL command can be used to delete columns from a table?

MODIFY TABLE TableName DROP COLUMN ColumnName

MODIFY TABLE TableName DROP ColumnName

ALTER TABLE TableName DROP COLUMN ColumnName

ALTER TABLE TableName DROP ColumnName

Discuss

Answer: (c).ALTER TABLE TableName DROP COLUMN ColumnName

Page 19 of 38

Welcome to the SQL MCQs Page

SQL MCQs | Page 19 of 38

Explore more Topics under DBMS

DBMS Basics

Data Models

The Entity Relationship Approach

Relational Databases

Data Storage and Querying

Relational Algebra

Normalization

Storage and File Structures

Indexing and Hashing

Transactions

Concurrency Control

Recovery System

Distributed Databases

Data Warehousing and Data Mining

RDBMS

Advanced SQL

SQL Queries,Constraints and Triggers

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