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Quiz 1 - C C 1 0 5

Total questions: 50

Worksheet time: 40mins

Name
Class
Date
1.

An organization collects large volumes of customer interaction logs but fails to analyze them. Which information management issue is MOST evident?

a)

Data redundancy caused by normalization failure

b)

Poor information quality due to lack of validation

c)

Dark data increasing operational risk

d)

Inefficient data storage caused by unstructured formats

2.

A hospital updates a patient’s address in one system, but other departments still see the old address. This situation primarily violates:

a)

Atomicity

b)

Data consistency

c)

Data security

d)

Data redundancy

3.

A university implements a centralized database so that enrollment, grading, and billing systems all reference the same student data. The main advantage achieved is:

a)

Improved physical data independence

b)

Reduced data redundancy

c)

Increased transaction latency

d)

Elimination of data normalization

4.

Which scenario BEST demonstrates information as a strategic resource?

a)

Storing archived files for compliance purposes

b)

Using market data analytics to anticipate competitor pricing

c)

Backing up operational data weekly

d)

Encrypting employee records

5.

An organization digitizes paper records but keeps inconsistent naming conventions across departments. Which challenge remains unresolved?

a)

Information accessibility

b)

Unified best practices

c)

Information security

d)

Information growth

6.

A DBMS prevents a fund transfer from deducting money without crediting the recipient account during a system crash. This illustrates:

a)

Data consistency

b)

Referential integrity

c)

Atomicity

d)

Data independence

7.

Compared to file-based systems, DBMS environments MOST significantly improve:

a)

Manual data validation

b)

Concurrent multi-user access

c)

Physical file storage capacity

d)

Standalone application execution

8.

Which activity transforms raw data into actionable information?

a)

Data encryption

b)

Data replication

c)

Data interpretation

d)

Data transmission

9.

An e-commerce company integrates customer data from CRM and inventory systems to personalize recommendations. This reflects which information management goal?

a)

Data lifecycle control

b)

Data integration and sharing

c)

Information destruction

d)

Media platform optimization

10.

Which outcome MOST likely if information silos persist within an organization?

a)

Improved operational efficiency

b)

Enhanced strategic planning

c)

Reduced collaboration and insight sharing

d)

Increased data consistency

11.

A DBMS enforces foreign key constraints to ensure enrollment records reference existing students. This primarily supports:

a)

Data redundancy

b)

Data integrity

c)

Data security

d)

Logical independence

12.

Which practice BEST addresses rapid organizational data growth?

a)

Increasing file duplication

b)

Implementing data lifecycle management

c)

Manual record archiving

d)

Restricting data access

13.

When data is accurate, timely, and accessible, information management MOST directly supports:

a)

Hardware optimization

b)

Decision-making quality

c)

File compression efficiency

d)

System portability

14.

A DBMS allows structural changes without modifying application programs. This advantage is known as:

a)

Physical data independence

b)

Logical data independence

c)

Transaction isolation

d)

Metadata abstraction

15.

Which misconception often leads organizations to underinvest in information management?

a)

Information systems are people-dependent

b)

Information management is only a technical concern

c)

Data requires interpretation to gain value

d)

Security controls require continuous review

16.

True or False: Information management involves both technological tools and human responsibility.

a)

True

b)

False

17.

True or False: Data automatically becomes information once it is stored digitally.

a)

True

b)

False

18.

True or False: Databases reduce redundancy by allowing multiple independent copies of the same data.

a)

True

b)

False

19.

True or False: Data consistency ensures that all users see logically uniform data after updates.

a)

True

b)

False

20.

True or False: Atomicity allows partial completion of database transactions when failures occur.

a)

True

b)

False

21.

True or False: Information silos hinder collaboration across departments.

a)

True

b)

False

22.

True or False: File-based systems provide built-in transaction rollback mechanisms.

a)

True

b)

False

23.

True or False: Data integrity includes entity, referential, and domain integrity.

a)

True

b)

False

24.

True or False: Poor information quality can negatively affect organizational decision-making.

a)

True

b)

False

25.

True or False: DBMS environments eliminate the need for security controls.

a)

True

b)

False

26.

Identification / Fill-in-the-Blanks: The discipline concerned with collecting, organizing, storing, and controlling organizational information is called (a)   .

27.

Identification / Fill-in-the-Blanks: Raw, unprocessed facts such as numbers or symbols are referred to as (a)   .

28.

Identification / Fill-in-the-Blanks: The unnecessary duplication of data across multiple locations is known as (a)   .

29.

Identification / Fill-in-the-Blanks: The database property that ensures all transaction operations succeed or fail together is (a)   .

30.

Identification / Fill-in-the-Blanks: The software that manages databases and provides an interface between users and data is called a (a)   .

31.

Identification / Fill-in-the-Blanks: The process of organizing data into structured tables to reduce duplication is called (a)   .

32.

Identification / Fill-in-the-Blanks: Data that is numerical and measurable is classified as (a)   data.

33.

Descriptive, non-numerical data is known as (a)   data.

34.

The concept that ensures updates in one place are reflected everywhere is called data (a)   .

35.

The language used to retrieve data from a database is (a)   .

36.

Information collected but never analyzed or used is called (a)   data.

37.

The database rule that prevents invalid references between tables enforces (a)   integrity.

38.

The ability of databases to support multiple users simultaneously is called (a)   access.

39.

Data about data, including table definitions and constraints, is known as (a)   .

40.

The advantage that allows database structure changes without breaking applications is (a)   data independence.

41.

Which feature MOST differentiates a DBMS from a file-based system?

a)

Manual data updates

b)

Centralized data control

c)

Standalone file storage

d)

Limited user access

42.

Which outcome BEST reflects effective information management?

a)

Increased data volume

b)

Faster hardware performance

c)

Improved strategic decision-making

d)

Reduced software licensing costs

43.

A flat-file system becomes inefficient mainly because it:

a)

Uses relational keys

b)

Supports normalization

c)

Encourages redundancy

d)

Enforces atomicity

44.

Which DBMS component stores information about tables, relationships, and constraints?

a)

Hardware

b)

Data dictionary

c)

Application layer

d)

User interface

45.

Which database concept ensures that invalid data values cannot be entered?

a)

Domain integrity

b)

Atomicity

c)

Data redundancy

d)

Logical independence

46.

When organizations analyze trends to anticipate risks, they are primarily using information for:

a)

Data storage

b)

Risk management

c)

Record archiving

d)

Transaction processing

47.

Which situation BEST illustrates data sharing with security?

a)

Public spreadsheets with edit access

b)

Role-based access to a centralized database

c)

Manual file duplication across departments

d)

Isolated system storage

48.

Why are databases preferred for large-scale systems like banking?

a)

Minimal storage requirements

b)

Support for ACID properties

c)

Reduced need for backups

d)

Elimination of security risks

49.

Which DBMS advantage allows organizations to grow without redesigning systems?

a)

Metadata management

b)

Scalability

c)

Data redundancy

d)

Manual optimization

50.

Which factor MOST contributes to failed information management implementations?

a)

Excessive data usage

b)

Lack of unified policies

c)

Overuse of automation

d)

Strong governance structures