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Data Mining
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Study First
Subject
:
it-skills
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. These are considered an alternate storage techniques for data warehousing include.
semantic object
groves law
near-line secondary storage devices
Transformation
2. 'Signatures' are used for intrusion detection by _______?
recognizing known patterns
OLAP
degrees of summarization
principle component analysis
3. The process by which numerical data is converted into graphical images is referred to as:
numeric prediction
Horizontal integration
data visualization
Association
4. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
average error
changing/UPDATE-ing
UNION
n
5. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
dimension
Cartesian
DROP TABLE Salesrep;
UNION
6. Useful for assessing performance in terms of identifying the most important class. Helps such choices as: How many tax records to examine; How many loans to grant; How many customers to mail an offer
lift charts
project readiness assessment factor
database administrator
association semantic object
7. You can save the results of a query as a table by including the _____ clause in the query.
semantic object
system catalog
numeric prediction
Into
8. Twice as likely to identify the important class (compared to avg. prevalence)
Top-down approach
semantic object (SOL) attribute
decile chart
composite semantic objects
9. ___________________ is used to relate one set of outcomes (dependent variable) to a set of predictor (independent) variables (e.g. - in time series analysis). Through this analysis we attempt to predictive future events - as the dependent variables b
Fact or Measurement table
Regression analysis
Count
cascading delete
10. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
ERD Modeling
decile chart
Into
drill-across report
11. When an entity has a minimum cardinality of one it means the entity is required in _______.
the relationship
ERD Modeling
database administrator
operational and external layer
12. Which statement removes the table Salesrep from a DBMS?
Sum
DROP TABLE Salesrep;
changing/UPDATE-ing
Top-down approach
13. A synonym for data mining
knowledge data discovery
data visualization
changing/UPDATE-ing
Horizontal integration
14. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
performance metrics - Numeric Prediction
Group By
degrees of summarization
Fact or Measurement table
15. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
surrogate key
n
Referential integrity
MAE (Mean Absolute Error) deviation
16. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
Scope creep
performance metrics - Numeric Prediction
semantic object
machine learning
17. Which of the following is at the center of a star schema?
Fact or Measurement table
transformation mapping
Breakeven analysis
MOLAP
18. A ___________ combines result sets from more than one fact table.
OLAP
drill-across report
ALTER TABLE Part DELETE Warehouse;
MOLAP
19. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
PRIMARY KEY (CustomerNum)
UNION
Referential integrity
cascading delete
20. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
Group By
aggregate
volatile data
association semantic object
21. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
degrees of summarization
PRIMARY KEY (CustomerNum)
Transformation
numeric prediction
22. Are a data mining technology.
neural networks & Decision Trees
OLAP
Breakeven analysis
lift charts
23. ___________ is not a characteristic of a data warehouse.
groves law
volatile data
artificial Key
neural networks & Decision Trees
24. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
Revoke
OLAP
machine learning
Group By
25. Which function calculates the number of entries in a table?
DROP TABLE Salesrep;
ERD Modeling
Scope creep
Count
26. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
Insert
Top-down approach
Association
cascading delete
27. R- squared(and adjusted r-squared) - A measure of how much of the variability around the target mean is explained by your predictive variables. Doesn't mean you have a good predictive model—only validation will tell you that
data visualization
artificial Key
lift charts
performance metrics - Numeric Prediction
28. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
numeric prediction
association semantic object
Scope creep
Into
29. Not the same as goodness-of-fit; We want to know how well the model predicts new data - not how well it fits the data it was trained with; Key component of most measures is difference between actual y and predicted y (error)
Sum
Breakeven analysis
measuring predictive error
Association
30. An economic feasibility measure. So is Internal rate of return.
semantic object
Sum
Breakeven analysis
Into
31. The process that records how data from operational data stores and external sources are transformed on the way into the warehouse is referred to as ________________.
Horizontal integration
Top-down approach
transformation mapping
MOLAP
32. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
project readiness assessment factor
MOLAP
neural networks & Decision Trees
semantic object
33. _________ seeks to ensure that each application under development is fully integrated within its own boundaries and to eliminate any inconsistencies in the final software product.
transformation mapping
Cartesian
Horizontal integration
Revoke
34. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
drill-across report
transformation mapping
Sum
changing/UPDATE-ing
35. Organizes and analyzes data as an n-dimensional cube. The cube can be thought of as a common spreadsheet with two extensions: (1) support for multiple dimensions and (2) support for multiple concurrent users.
MOLAP
knowledge data discovery
market basket analysis
ALTER TABLE Part DELETE Warehouse;
36. The _____ operation of two tables results in a single table with the same columns as the first table - and containing all rows that are in the first table merged with all the rows in the second table - minus any duplicate rows.
groves law
The degree of granularity
UNION
Transformation
37. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
project readiness assessment factor
PRIMARY KEY (CustomerNum)
MOLAP
decile chart
38. An analytical-oriented organizational structure is a data warehouse _____________.
n
volatile data
project readiness assessment factor
Breakeven analysis
39. A single column that you create for an entity to serve as the primary key - because you otherwise would need many concatenated columns to do so - is called a(n) ____________.
Into
artificial Key
OLAP
Document Analyzer
40. The term _____ has been generally agreed to represent the broadest category of software technology that enables decision makers to conduct many dimensional analysis of consolidated enterprise data.
Breakeven analysis
OLAP
machine learning
UNION
41. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
operational and external layer
degrees of summarization
groves law
performance metrics - Numeric Prediction
42. The product of two tables is also called the ________ product.
average error
system catalog
Cartesian
Horizontal integration
43. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
Association
machine learning
semantic object (SOL) attribute
Into
44. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
degrees of summarization
PRIMARY KEY (CustomerNum)
decile chart
data mining
45. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
numeric prediction
Revoke
groves law
Breakeven analysis
46. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
ALTER TABLE Part DELETE Warehouse;
Insert
principle component analysis
composite semantic objects
47. ___________ determines exactly what level of detail constitutes a fact record.
The degree of granularity
cascading delete
the relationship
machine learning
48. Information about tables in the database is kept in the _____.
system catalog
artificial Key
Regression analysis
Association
49. This is not considered one of the four major categories of processing algorithms and rule approaches.
Regression analysis
Top-down approach
data mining
principle component analysis
50. A _____________ is a system-generated primary key.
Revoke
performance metrics - Numeric Prediction
volatile data
surrogate key
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