Welcome to the Data Storage and Querying MCQs Page

Dive deep into the fascinating world of Data Storage and Querying with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Storage and Querying, a crucial aspect of DBMS. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Storage and Querying, 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 Data Storage and Querying. 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 Data Storage and Querying. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Storage and Querying MCQs | Page 1 of 21

Explore more Topics under DBMS

01

DBMS Basics

02

Data Models

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The Entity Relationship Approach

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Relational Databases

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SQL Queries,Constraints and Triggers

Q1.

Which of the following is correct regarding Aggregate functions?

it takes a list of values and return a single values as result

it takes a list of values and return a list of values as result

it takes a single value and returns a list of values as result

it takes a single value and returns a single value as result

Discuss

Answer: (a).it takes a list of values and return a single values as result

Q2.

Which of the following option is use to retrieval of data?

Stack

Data Structure

Linked list

Query

Discuss

Answer: (d).Query

Q3.

Establishing limits on allowable property values, and specifying a set of acceptable, predefined options that can be assigned to a property are examples of:

Attributes

Data integrity constraints

Method constraints

Referential integrity constraints

Discuss

Answer: (b).Data integrity constraints

Q4.

______ is a special type of integrity constraint that relates two relations & maintains consistency across the relations.

Entity Integrity Constraints

Referential Integrity Constraint

Domain Integrity Constraints

Domain Constraints

Discuss

Answer: (b).Referential Integrity Constraint

Q5.

Which of the following is a physical storage media ?

Tape Storage

Optical Storage

Flash memory

All of the mentioned

Discuss

Answer: (d).All of the mentioned

Q6.

Which of the following creates a virtual relation for storing the query ?

Function

View

Procedure

None of the mentioned

Discuss

Answer: (b).View

Q7.

Which of the following is the syntax for views where v is view name ?

Create view v as “query name”;

Create “query expression” as view;

Create view v as “query expression”;

Create view “query expression”;

Discuss

Answer: (c).Create view v as “query expression”;

Q8.

Select course_id
from physics_fall_2009
where building= ’Watson’;

Here the tuples are selected from the view.Which one denotes the view ?

Course_id

Watson

Building

physics_fall_2009

Discuss

Answer: (c).Building

Q9.

Materialised views make sure that

View definition is kept stable

View definition is kept up-to-date

View definition is verified for error

View is deleted after specified time

Discuss

Answer: (b).View definition is kept up-to-date

Q10.

Updating the value of the view

Will affect the relation from which it is defined

Will not change the view definition

Will not affect the relation from which it is defined

Cannot determine

Discuss

Answer: (a).Will affect the relation from which it is defined

Page 1 of 21

Welcome to the Data Storage and Querying MCQs Page

Data Storage and Querying MCQs | Page 1 of 21

Explore more Topics under DBMS

DBMS Basics

Data Models

The Entity Relationship Approach

Relational Databases

Relational Algebra

Normalization

Storage and File Structures

Indexing and Hashing

Transactions

Concurrency Control

Recovery System

Distributed Databases

SQL

Data Warehousing and Data Mining

RDBMS

Advanced SQL

SQL Queries,Constraints and Triggers

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