Chapter 6 Flashcards
(16 cards)
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
D. field
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
B. entity
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. program-data dependence
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
B. inconsistent
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
E. database management system
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. primary key
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
E. select
________ 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
E. Non-relational database management systems
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 data warehouse
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
C. Hadoop
________ 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)
C. In-memory computing
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
B. web beacons
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
D. information policy
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
C. data mining
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
D. data quality audit
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
E. data cleansing