MIS Ch. 6 Quiz
In a student database, a column called LastName would be an example of a(n)
attribute
A ________ is represented by a 0 or 1.
bit
A ________ in a database represents a single character such as a letter or number.
byte
Microsoft Azure SQL is an example of a _________________ database.
cloud
Which of the following involves searching for patterns and relationships among data?
data mining
The special organizational function whose responsibilities include the technical and operational aspects of managing data, including physical database design and maintenance, is called ________.
database administration
The most common use of non-relational database management systems is for managing ________.
extremely large data sets
Which of the following is NOT a function of a data warehouse? A. Organize and relate data B. Filter data C. Cleanse data D. Catalog data E. Obtain data
filter data
Relational tables need to be ______________ to help avoid duplicate data.
normalized
A(n) __________ key uniquely identifies a row or record in a table.
primary
In a student database, a row that describes the top student, including his or her LastName, FirstName, and StudentNumber, is an example of a(n) ______________.
record
Relational databases enforce ______________ integrity to ensure, for instance, that a teacher can't be assigned to a CLASS table unless the teacher already exists in the TEACHER table.
referential
_______________ databases are by far the most popular type of database on the market today.
relational
What is the first step in effectively managing data for a firm?
specify the information policy
The "3V's" used to characterize big data include volume, variety, and _______.
velocity
Which statement about big data is FALSE? A. Big data can be processed with traditional techniques. B. Big data data sets are at least a petabyte in size. C. Big data has a variety of data with structured data and free-form text and logs. D. Big data can consist of multimedia files like graphics, audio, and video. E. Big data is generated rapidly.
Big data can be processed with traditional techniques
Which of the following statements about Hadoop is FALSE? A. Hadoop enables distributed parallel processing of huge amounts of data across inexpensive computers. B. Hadoop combines results into a smaller data set that is easier to analyze. C. Hadoop is an open source software framework. D. Hadoop breaks a big data problem down into sub-problems. E. Hadoop extracts data from multiple tables that have a relationship.
Hadoop extract data from multiple tables that have a relationship
The data _______________ language allows you to retrieve information from the database (i.e., using the SELECT, FROM, WHERE commands).
Manipulation
If you need a DBMS for large commercial use on a mainframe, which of the following is a viable option?
Microsoft SQL Server
Which tool enables users to view the same data in different ways using multiple dimensions?
OLAP
What is the most popular data manipulation language and method to "question" a database?
Structured Query Language
Which of the following does NOT need to be addressed in an organization's information policy? A. What the relationships inside the data are B. Who is responsible for updating and maintaining the information C. Procedures and accountabilities around managing data resources D. Which users and organizational units can share information E. Where information can be distributed
What are the relationships inside the data are
Which of the following is a popular way to describe relationships (i.e., one-to-one, one-to-many) in a relational database?
entity-relationship diagram
In a student database, a collection of related attributes such as LastName, FirstName, and Student# creates a(n) _______________.
entity
A method that allows complex business calculations to be performed on very large data sets in seconds is termed __________.
in-memory computing