Welcome to the Indexing and Hashing MCQs Page

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

Indexing and Hashing MCQs | Page 14 of 15

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

Transactions

10

Concurrency Control

11

Recovery System

12

Distributed Databases

13

SQL

14

Data Warehousing and Data Mining

15

RDBMS

16

Advanced SQL

17

SQL Queries,Constraints and Triggers

Q131.

Key value pairs is usually seen in

Hash tables

Heaps

Both Hash tables and Heaps

Skip list

Discuss

Answer: (a).Hash tables

Q132.

What is the best definition of a collision in a hash table?

Two entries are identical except for their keys

Two entries with different data have the exact same key

Two entries with different keys have the same exact hash value

Two entries with the exact same key have different hash values

Discuss

Answer: (a).Two entries are identical except for their keys

Q133.

Which of the following scenarios leads to linear running time for a random search hit in a linear-probing hash table?

All keys hash to same index

All keys hash to different indices

All keys hash to an even-numbered index

All keys hash to different even-numbered indices

Discuss

Answer: (a).All keys hash to same index

Q134.

Breadth First Search is used in

Binary trees

Stacks

Graphs

All of the mentioned

Discuss

Answer: (c).Graphs

Q135.

What is the main limitation of Hierarchical Databases?

Limited capacity (unable to hold much data)

Limited flexibility in accessing data

Overhead associated with maintaining indexes

The performance of the database is poor

Discuss

Answer: (b).Limited flexibility in accessing data

Q136.

The property (or set of properties) that uniquely defines each row in a table is called the:

Identifier

Index

Primary key

Symmetric key

Discuss

Answer: (c).Primary key

Q137.

The separation of the data definition from the program is known as:

Data dictionary

Data independence

Data integrity

Referential integrity

Discuss

Answer: (b).Data independence

Q138.

In the client / server model, the database:

Is downloaded to the client upon request

Is shared by both the client and server

Resides on the client side

Resides on the server side

Discuss

Answer: (d).Resides on the server side

Q139.

The traditional storage of data that is organized by customer, stored in separate folders in filing cabinets is an example of what type of ‘database’ system?

Hierarchical

Network

Object oriented

Relational

Discuss

Answer: (a).Hierarchical

Q140.

The database design that consists of multiple tables that are linked together through matching data stored in each table is called

Hierarchical database

Network database

Object oriented database

Relational database

Discuss

Answer: (d).Relational database

Page 14 of 15

Welcome to the Indexing and Hashing MCQs Page

Indexing and Hashing MCQs | Page 14 of 15

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

Transactions

Concurrency Control

Recovery System

Distributed Databases

SQL

Data Warehousing and Data Mining

RDBMS

Advanced SQL

SQL Queries,Constraints and Triggers

Suggested Topics

SQL Server

MongoDB

Embedded Systems

Systems Analysis and Design Methods

UNIX

Software Architecture and Design

DBMS

Java Spring Framework

Artificial Intelligence