Welcome to the Recovery System MCQs Page

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

Recovery System MCQs | Page 3 of 10

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

Distributed Databases

13

SQL

14

Data Warehousing and Data Mining

15

RDBMS

16

Advanced SQL

17

SQL Queries,Constraints and Triggers

Q21.

Data encryption techniques are particularly useful for

reducing storage space requirements

improving data integrity

protecting data in data communication systems

All of the above

Discuss

Answer: (c).protecting data in data communication systems

Q22.

Before any changes to database structure are attempted one should first:

clearly understand the current structure and contents of the database only.

test any changes on a test database only.

create a complete backup of the operational database only.

All of the above should be done.

Discuss

Answer: (d).All of the above should be done.

Q23.

Which of the following modifications may not succeed?

Changing a column data type from char to date

Changing a column data type from numeric to char

Both of the above actions should succeed.

Neither of the above actions will succeed.

Discuss

Answer: (a).Changing a column data type from char to date

Q24.

Because of the importance of making data model changes correctly, many professionals are ________ about using an automated process for database redesign.

optimistic

skeptical

ambivalent

None of the above is correct.

Discuss

Answer: (b).skeptical

Q25.

Which of the following can cause a transaction failure

Logical error

System error

More than one of the mentioned

None of the mentioned

Discuss

Answer: (c).More than one of the mentioned

Q26.

If the transaction can no longer continue with its normal execution because of some internal condition, it is called as a _________

Logical error

System error

System crash

None of the mentioned

Discuss

Answer: (a).Logical error

Q27.

If a system has entered and undesirable state due to which it is unable to continue with normal execution, it is called as _________

Logical error

System error

System crash

None of the mentioned

Discuss

Answer: (b).System error

Q28.

If there is a hardware malfunction or a bug in the database that causes the loss of content of volatile storage, it is called as ________

Logical error

System error

System crash

None of the mentioned

Discuss

Answer: (c).System crash

Q29.

The assumption that the hardware errors bring the system to a halt is called as ________

Halter assumption

Phantom assumption

Fail-stop assumption

Disk failure

Discuss

Answer: (c).Fail-stop assumption

Q30.

Which of the following is not a classification of storage

Volatile storage

Nonvolatile storage

Stable storage

None of the mentioned

Discuss

Answer: (d).None of the mentioned

Page 3 of 10

Welcome to the Recovery System MCQs Page

Recovery System MCQs | Page 3 of 10

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

Distributed Databases

SQL

Data Warehousing and Data Mining

RDBMS

Advanced SQL

SQL Queries,Constraints and Triggers

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