Chapter 6 Flashcards

(16 cards)

1
Q

A grouping of characters into a word or group of words is called​ a(n) ________.

A. bit
B. byte
C. record
D. field
E. file

A

D. field

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2
Q

A​ person, place, or thing that is stored in a database is called​ a(n) ________.

A. bit
B. entity
C. object
D. file
E. attribute

A

B. entity

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3
Q

The coupling of files used to store information and the application program that updates and maintains those files is called​ ________.

A. program-data dependence
B. data redundancy
C. enterprise computing
D. program-data independence
E. client/server computing

A

A. program-data dependence

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4
Q

Data is considered to be​ __________ when the same attribute has different values in different systems.

A. redundant
B. inconsistent
C. dependent upon a program
D. safe
E. cleansed

A

B. inconsistent

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5
Q

A(n) ________ enables an organization to centrally manage and organize data.

A. storage area network
B. laptop computer
C. cloud computer
D. desktop computer
E. database management system

A

E. database management system

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6
Q

The unique identifier for all data in a table is called the​ ________.

A. primary key
B. candidate key
C. foreign key
D. tuple
E. columns

A

A. primary key

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7
Q

In relational​ databases, the​ ________ operation creates a subset of records in the file that meet stated criteria.

A. join
B. truncate
C. project
D. aggregate
E. select

A

E. select

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8
Q

________ use a more flexible data model and are designed for big data.

A. Online analytical processing systems
B. Legacy systems
C. Data warehouses
D. Relational databases
E. Non-relational database management systems

A

E. Non-relational database management systems

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9
Q

A(n) ________ is a database that stores historic and current data for the use of decision makers in the organization.

A data warehouse
B. transaction processing system
C. flat-file system
D. non-traditional database management system
E. in-memory database

A

A data warehouse

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10
Q

An open source framework for parallel processing across inexpensive computers is called​ ________.

A. ​in-memory computing
B. big data
C. Hadoop
D. data warehouse
E. Linux

A

C. Hadoop

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11
Q

________ is another way to facilitate big data analysis and remove bottlenecks normally found in a traditional database.

A. Data analytics
B. Data warehousing
C. In-memory computing
D. Hadoop
E. Online analytic processing​ (OLAP)

A

C. In-memory computing

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12
Q

All the following are types of information that are obtained from data mining EXCEPT​ ________.

A. associations
B. web beacons
C. sequences
D. clustering
E. classification

A

B. web beacons

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13
Q

​A(n) ________ specifies the rules of an organization for sharing and disseminating information.

A. information protocol
B. disaster recovery plan
C. quality assurance plan
D. information policy
E. information toolset

A

D. information policy

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14
Q

Finding hidden patterns and relationships in large databases and inferring rules from them to predict future behavior is called​ ________.

A. a text mining tool
B. a network operation
C. data mining
D. data cleansing
E. a data quality audit

A

C. data mining

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15
Q

A(n) ________ is a structured survey of the accuracy and level of completeness of data in an information system.

A. end-user survey
B. VPN analysis
C. post-mortem analysis
D. data quality audit
E. data consistency audit

A

D. data quality audit

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16
Q

The process of detecting and correcting errors in a database is called​ ________.

A. data transmission
B. data extraction
C. normalization
D. data mining
E. data cleansing

A

E. data cleansing