FPT University

ITA 301

Chap 6

1)Which of the following is NOT one of the main problems with a traditional file environment?

1. 1. data inconsistency
   2. program-data independence
   3. lack of flexibility in creating ad-hoc reports
   4. poor security

2. A DBMS reduces data redundancy and inconsistency by
   1. enforcing referential integrity.
   2. uncoupling program and data.
   3. utilizing a data dictionary.
   4. minimizing isolated files with repeated data.

3. Which of the following best illustrates the relationship between entities and attributes?

1. 1. the entity CUSTOMER with the attribute PRODUCT
   2. the entity CUSTOMER with the attribute PURCHASE
   3. the entity PRODUCT with the attribute PURCHASE
   4. the entity PRODUCT with the attribute CUSTOMER

4. A characteristic or quality describing an entity is called a(n)
   1. field.
   2. tuple.
   3. key field.
   4. attribute.

5. Which of the following non-digital data storage items is most similar to a database?
   1. library card catalog.
   2. cash register receipt.
   3. doctor's office invoice.
   4. list of sales totals on a spreadsheet.

6. The confusion created by                           makes it difficult for companies to create customer relationship management, supply chain management, or enterprise systems that integrate data from different sources.
   1. batch processing
   2. data redundancy
   3. data independence
   4. online processing

7. Duplicate data in multiple data files is called data                                      .
   1. redundancy
   2. repetition
   3. independence
   4. partitions

8. A DBMS makes the
   1. physical database available for different logical views.
   2. logical database available for different analytical views.
   3. physical database available for different analytical views.
   4. relational database available for different physical views.

9. The logical view
   1. shows how data are organized and structured on the storage media.
   2. presents an entry screen to the user.
   3. allows the creation of supplementary reports.
   4. presents data as they would be perceived by end users.

10. DBMS for midrange computers include all of the following EXCEPT
    1. DB2.
    2. Oracle.
    3. Microsoft SQL Server.
    4. Microsoft Access.

11. The type of logical database model that treats data as if they were stored in two-dimensional tables is the
    1. OODBMS.
    2. pre-digital DBMS.
    3. relational DBMS.
    4. hierarchical DBMS.

12. Oracle Database Lite is a(n)
    1. DBMS for small handheld computing devices.
    2. Internet DBMS.
    3. mainframe relational DBMS.
    4. DBMS for midrange computers.

13. Microsoft SQL Server is a(n)
    1. DBMS for small handheld computing devices.
    2. Internet DBMS.
    3. desktop relational DBMS.
    4. DBMS for midrange computers.

14. In a table for customers, the information about a single customer would reside in a single
    1. field.
    2. row.
    3. column.
    4. table.

15. In a relational database, a record is referred to in technical terms as a(n)
    1. tuple.
    2. row.
    3. entity.
    4. field.

16. A field identified in a table as holding the unique identifier of the table's records is called the
    1. primary key.
    2. key field.
    3. primary field.
    4. unique ID.

17. A field identified in a record as holding the unique identifier for that record is called the
    1. primary key.
    2. key field.
    3. primary field.
    4. unique ID.

18. In a relational database, the three basic operations used to develop useful sets of data are
    1. select, project, and where.
    2. select, join, and where.
    3. select, project, and join.
    4. select, from, and join.

19. The select operation
    1. combines relational tables to provide the user with more information than is otherwise available.
    2. creates a subset consisting of columns in a table.
    3. identifies the table from which the columns will be selected.
    4. creates a subset consisting of all records in the file that meet stated criteria.

20. The join operation
    1. combines relational tables to provide the user with more information than is otherwise available.
    2. identifies the table from which the columns will be selected.
    3. creates a subset consisting of columns in a table.
    4. organizes elements into segments.

21. The project operation
    1. combines relational tables to provide the user with more information than is otherwise available.
    2. creates a subset consisting of columns in a table.
    3. organizes elements into segments.
    4. identifies the table from which the columns will be selected.

22. Which of the following database types is useful for storing java applets as well as processing large numbers of transactions?
    1. relational DBMS
    2. hierarchical DBMS
    3. object-relational DBMS
    4. OODBMS

23. The type of database management approach that can handle multimedia is the
    1. hierarchical DBMS.
    2. relational DBMS.
    3. network DBMS.
    4. object-oriented DBMS.

24. The data dictionary serves as an important data management tool by
    1. assigning attributes to the data.
    2. creating an inventory of data contained in the database.
    3. presenting data as end users or business specialists would perceive them.
    4. maintaining data in updated form.

25. An automated or manual file that stores information about data elements and data characteristics such as usage, physical representation, ownership, authorization, and security is the
    1. data dictionary.
    2. data definition diagram.
    3. entity-relationship diagram.
    4. relationship dictionary.

26. The specialized language programmers use to add and change data in the database is called
    1. a data access language.
    2. a data manipulation language.
    3. structured Query language.
    4. a data definition language.

27. The most prominent data manipulation language today is
    1. Access.
    2. DB2.
    3. SQL.
    4. Crystal Reports.

28. DBMSs typically include report-generating tools in order to
    1. retrieve and display data.
    2. display data in an easier-to-read format.
    3. display data in graphs.
    4. perform predictive analysis.

29. The process of streamlining data to minimize redundancy and awkward many-to-many relationships is called
    1. normalization.
    2. data scrubbing.
    3. data cleansing.
    4. data defining.

30. A schematic of the entire database that describes the relationships in a database is called a(n)
    1. data dictionary.
    2. intersection relationship diagram.
    3. entity-relationship diagram.
    4. data definition diagram.

31. A one-to-one relationship between two entities is symbolized in a diagram by a line that ends with
    1. two short marks.
    2. one short mark.
    3. a crow's foot.
    4. a crow's foot topped by a short mark.

32. A one-to-many relationship between two entities is symbolized in a diagram by a line that ends with
    1. two short marks.
    2. one short mark.
    3. a crow's foot.
    4. a crow's foot topped by a short mark.

33. In what type of a database system is the entire central database duplicated at all remote locations?
    1. partitioned
    2. normalized
    3. replicated
    4. networked

34. Which of the following is a main disadvantage to a distributed database system?
    1. lack of flexibility
    2. susceptibility to data inconsistency
    3. poor responsiveness to local users
    4. requires more expensive computers

35. A data warehouse is composed of
    1. historical data from legacy systems.
    2. current data.
    3. internal and external data sources.
    4. historic and current internal data.

36. A data mart usually can be constructed more rapidly and at lower cost than a data warehouse because
    1. a data mart typically focuses on a single subject area or line of business.
    2. all the information is historical.
    3. a data mart uses a Web interface.
    4. all of the information belongs to a single company.

37. Tools for consolidating, analyzing, and providing access to vast amounts of data to help users make better business decisions are known as
    1. DSS.
    2. business intelligence.
    3. OLAP.
    4. data mining.

38. The tool that enables users to view the same data in different ways using multiple dimensions is
    1. predictive analysis.
    2. SQL.
    3. OLAP.
    4. data mining.

39. OLAP is a tool for enabling
    1. users to obtain online answers to ad-hoc questions in a rapid amount of time.
    2. users to view both logical and physical views of data.
    3. programmers to quickly diagram data relationships.
    4. programmers to normalize data.

40. Data mining is a tool for allowing users to
    1. quickly compare transaction data gathered over many years.
    2. find hidden relationships in data.
    3. obtain online answers to ad hoc questions in a rapid amount of time.
    4. summarize massive amounts of data into much smaller, traditional reports.

41. In terms of data relationships, associations refers to
    1. events linked over time.
    2. patterns that describe a group to which an item belongs.
    3. occurrences linked to a single event.
    4. undiscovered groupings.

42.                        tools are used to analyze large unstructured data sets, such as e-mail, memos, survey responses, etc., to discover patterns and relationships.
    1. OLAP
    2. Text mining
    3. Web mining
    4. Web content mining

43. An alternative to using application server software for interfacing between a Web server and back-end databases is
    1. CGI.
    2. HTML.
    3. Java.
    4. SQL.

44. The organization's rules for sharing, disseminating, acquiring, standardizing, classifying, and inventorying information is called a(n)
    1. information policy.
    2. data definition file.
    3. data quality audit.
    4. data governance policy.

45. The special organizational function whose responsibilities include the technical and operational aspects of managing data, including physical database design and maintenance, is called
    1. data administration.
    2. database administration.
    3. information policy administration.
    4. data auditing.

46. Which common database challenge is illustrated by the text's discussion of receiving multiple pieces of the same direct mail advertising?
    1. data normalization
    2. data accuracy
    3. data redundancy
    4. data inconsistency

47. Detecting and correcting data in a database or file that are incorrect, incomplete, improperly formatted, or redundant is called
    1. data auditing.
    2. defragmentation.
    3. data scrubbing.
    4. data optimization.

48. As discussed in the Interactive Session: Technology, what problem was MySpace facing in its data management?
    1. program-data dependence
    2. data redundancy
    3. scalability
    4. data quality

49. Data cleansing not only corrects errors but also
    1. establishes logical relationships between data.
    2. structures data.
    3. normalizes data.
    4. enforces consistency among different sets of data.