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MIS Chapter 5

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

The traditional file environment does not typically have a problem with

a)

data inconsistency

b)

program-data independence.

c)

lack of flexibility in creating ad-hoc reports.

d)

lack of flexibility in creating ad-hoc reports.

e)

data sharing.

2.

A(n) ________ is a characteristic or quality that describes a database entity.

a)

field

b)

tuple

c)

key field

d)

attribute

e)

relationship

3.

________ creates confusion that hampers the creation of information systems that integrate data from different sources.

a)

Batch processing

b)

Data redundancy

c)

Data independence

d)

Online processing

e)

Data quality

4.

Which of the following features enables a DBMS to reduce data redundancy and inconsistency?

a)

enforces referential integrity

b)

couples program and data

c)

data dictionary

d)

two-dimensional tables

e)

minimizes isolated files with repeated data

5.

A DBMS makes the

a)

physical database available for different logical views.

b)

relational database available for different logical views.

c)

physical database available for different analytic views.

d)

relational database available for different analytic views.

e)

logical database available for different analytic views.

6.

The logical view of a database

a)

displays the organization and structure of data on the physical storage media.

b)

includes a digital dashboard.

c)

allows the creation of supplementary reports.

d)

enables users to manipulate the logical structure of the database.

e)

presents data as they would be perceived by end users.

7.

A field identified in a table as holding the unique identifier of the table's records is called the

a)

primary key.

b)

key field.

c)

primary field.

d)

unique ID.

e)

primary entity.

8.

The specialized language programmers use to add and change data in the database is called

a)

a data access language.

b)

a data manipulation language.

c)

structured query language.

d)

a data definition language.

e)

a DBMS.

9.

Big data does not refer to

a)

datasets with fewer than a billion records.

b)

datasets with unstructured data.

c)

machine-generated data (i.e. from sensors).

d)

data created by social media (i.e. tweets, Facebook Likes).

e)

data from Web traffic.

10.

Which of the following technologies would you use to analyze the social media data collected by a major online retailer?

a)

OLAP

b)

data warehouse

c)

data mart

d)

Hadoop

e)

DBMS

11.

A data warehouse is composed of

a)

historical data from legacy systems.

b)

current data.

c)

internal and external data sources.

d)

historic and current internal data.

e)

historic external data.

12.

All of the following are technologies used to analyze and manage big data except

a)

cloud computing.

b)

noSQL.

c)

in-memory computing.

d)

analytic platforms.

e)

Hadoop.

13.

The organization's rules for sharing, disseminating, acquiring, standardizing, classifying, and inventorying information is called a(n)

a)

information policy.

b)

data definition file.

c)

data quality audit.

d)

data governance policy.

e)

data policy.

14.

The special organizational function whose responsibilities include physical database design and maintenance is called

a)

data administration.

b)

database administration.

c)

information policy administration.

d)

data auditing.

e)

database management.

15.

Detecting and correcting data in a database or file that are incorrect, incomplete, improperly formatted, or redundant is called

a)

data auditing.

b)

defragmentation.

c)

data scrubbing.

d)

data optimization.

e)

data normalization.