CIS 405 final ch 9

8) Operational and informational systems are generally separated because of which of the following factors?

A) A data warehouse centralizes data that are scattered throughout disparate operational systems and makes them readily available for decision support applications. B) A properly designed data warehouse adds value to data by improving their quality and consistency. C) A separate data warehouse eliminates contention for resources that results when informational applications are confounded with operational processing. D) All of the above

5) Which of the following factors drive the need for data warehousing?

A) Businesses need an integrated view of company information.

32) OLAP tools that use the database as a traditional relational database are called:

A) ROLAP tools.

30) ________ is/are a new technology which trade(s) off storage space savings for computing time.

B) Column databases

37) Which of the following data-mining techniques searches for patterns and correlations in large data sets?

B) Rule discovery

38) Which of the following data mining applications identifies customers for promotional activity?

B) Target marketing

3) When we consider data in the data warehouse to be time-variant, we mean:

B) data in the warehouse contain a time dimension so that they may be used to study trends and changes.

14) A logical data mart is a(n):

B) data mart created by a relational view of a slightly denormalized data warehouse.

35) Going from a summary view to progressively lower levels of detail is called data:

B) drill-down.

20) A database action that results from a transaction is called a(n):

B) event.

25) The level of detail in a fact table determined by the intersection of all the components of the primary key, including all foreign keys and any other primary key elements, is called the:

B) grain.

1) The analysis of summarized data to support decision making is called:

B) informational processing.

12) A dependent data mart:

B) is filled exclusively from the enterprise data warehouse with reconciled data.

24) Every key used to join the fact table with a dimension table should be a ________ key.

B) surrogate

36) Which of the following data mining techniques identifies clusters of observations with similar characteristics?

C) Clustering and signal processing

6) Which of the following organizational trends does not encourage the need for data warehousing?

C) Downsizing

9) A data mart is a(n):

C) data warehouse that is limited in scope.

15) All of the following are unique characteristics of a logical data mart EXCEPT:

C) the process of creating a logical data mart is lengthy.

29) All of the following are ways to handle changing dimensions EXCEPT:

D) create a snowflake schema.

11) All of the following are limitations of the independent data mart EXCEPT:

D) it is often more expedient to build a data mart than a data warehouse.

33) Rotating the view of a multidimensional database for a particular data point is called data:

D) pivoting.

40) The development of the relational data model did not contribute to the emergence of data warehousing.

f

42) When multiple systems in an organization are synchronized, the need for data warehousing increases.

f

22) Which of the following is an objective of derived data?

A) Ease of use for decision support systems B) Faster response time for user queries C) Support data mining applications D) All of the above

4) Which of the following advances in information systems contributed to the emergence of data warehousing?

A) Improvements in database technology, particularly the relational data model B) Advances in computer hardware, especially affordable mass storage and parallel computer architectures C) Advances in middleware products that enabled enterprise database connectivity across heterogeneous platforms D) All of the above

16) The real-time data warehouse is characterized by which of the following?

A) It accepts near-real time feeds of transaction data. B) Data are immediately transformed and loaded into the warehouse. C) It provides near-real-time access for the transaction processing systems to an enterprise data warehouse. D) All of the above

34) Which of the following is true of data visualization?

A) It is easier to observe trends and patterns in data. B) Correlations and clusters in data can be easily identified. C) It is often used in conjunction with data mining. D) All of the above. Answer: D

18) All of the following are some beneficial applications for real-time data warehousing EXCEPT:

A) just-in-time transportation. B) e-commerce. For example, an abandoned shopping cart can trigger an email promotional message. C) fraud detection in credit card transactions. D) data entry. Answer: D

19) Data that are detailed, current, and intended to be the single, authoritative source of all decision support applications are called ________ data.

A) reconciled

7) Informational systems are designed for all of the following EXCEPT:

A) running a business in real time.

26) Conformed dimensions allow users to do the following:

A) share nonkey dimension data. B) query across fact tables with consistency. C) work on facts and business subjects for which all users have the same meaning. D) all of the above.

28) An expanded version of a star schema in which all of the tables are fully normalized is called a(n):

A) snowflake schema.

2) The characteristic that indicates that a data warehouse is organized around key high-level entities of the enterprise is:

A) subject-oriented.

10) One characteristic of independent data marts is complexity for end users when they need to access data in separate data marts. This complexity is caused by not only having to access data from separate databases, but also from:

A) the possibility of a new generation of inconsistent data systems, the data marts themselves.

27) Factless fact tables may apply when:

A) we are tracking events. C) we are taking inventory of the set of possible occurrences.

17) ________ technologies are allowing more opportunities for real-time data warehouses.

C) RFID

23) A star schema contains both fact and ________ tables.

C) dimension

13) An operational data store (ODS) is a(n):

C) integrated, subject-oriented, updateable, current-valued, detailed database designed to serve the decision support needs of operational users.

31) The use of a set of graphical tools that provides users with multidimensional views of their data is called:

C) on-line analytical processing (OLAP).

21) Data that are never physically altered once they are added to the store are called ________ data.

C) periodic