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Test your basic knowledge |
Data Mining
Start Test
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. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
data mart
DROP TABLE Salesrep;
Insert
volatile data
2. This is not considered one of the four major categories of processing algorithms and rule approaches.
Fact or Measurement table
volatile data
principle component analysis
association semantic object
3. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
numeric prediction
degrees of summarization
composite semantic objects
database administrator
4. 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) ____________.
Document Analyzer
n
artificial Key
Sum
5. An analytical-oriented organizational structure is a data warehouse _____________.
DROP TABLE Salesrep;
project readiness assessment factor
transformation mapping
MOLAP
6. These are considered an alternate storage techniques for data warehousing include.
knowledge data discovery
ERD Modeling
near-line secondary storage devices
n
7. ___________ determines exactly what level of detail constitutes a fact record.
DROP TABLE Salesrep;
The degree of granularity
Breakeven analysis
UNION
8. Which function should be used to calculate the total of all entries in a given column?
Sum
PRIMARY KEY (CustomerNum)
Scope creep
Document Analyzer
9. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
near-line secondary storage devices
decile chart
aggregate
semantic object
10. 'Signatures' are used for intrusion detection by _______?
maximum
Transformation
recognizing known patterns
ERD Modeling
11. _________ 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.
Regression analysis
Horizontal integration
decile chart
system catalog
12. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
PRIMARY KEY (CustomerNum)
Transformation
Referential integrity
ERD Modeling
13. A synonym for data mining
neural networks & Decision Trees
lift charts
The degree of granularity
knowledge data discovery
14. The process by which numerical data is converted into graphical images is referred to as:
Fact or Measurement table
machine learning
data visualization
drill-across report
15. A common example of the use of association methods where a retailer can mine the data generated by a point-of-sale system - such as the price scanner you are familiar with at the grocery store is referred to as:
Sum
aggregate
artificial Key
market basket analysis
16. When an entity has a minimum cardinality of one it means the entity is required in _______.
principle component analysis
volatile data
the relationship
Fact or Measurement table
17. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
MOLAP
aggregate
data mining
recognizing known patterns
18. A _____________ is a system-generated primary key.
neural networks & Decision Trees
surrogate key
near-line secondary storage devices
transformation mapping
19. 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)
principle component analysis
MOLAP
measuring predictive error
cascading delete
20. A ___________ combines result sets from more than one fact table.
Horizontal integration
Count
knowledge data discovery
drill-across report
21. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
maximum
numeric prediction
degrees of summarization
cascading delete
22. An economic feasibility measure. So is Internal rate of return.
decile chart
Breakeven analysis
OLAP
ERD Modeling
23. A compound semantic object is an object that contains at least one ____.
Insert
average error
recognizing known patterns
semantic object (SOL) attribute
24. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
DROP TABLE Salesrep;
Cartesian
Scope creep
Into
25. 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
performance metrics - Numeric Prediction
drill-across report
Breakeven analysis
average error
26. Gives us an idea of the magnitude of errors. Actual value - estimated value.
drill-across report
MAE (Mean Absolute Error) deviation
recognizing known patterns
association semantic object
27. An ___________ relates two other objects.
association semantic object
volatile data
knowledge data discovery
Transformation
28. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
UNION
Transformation
n
measuring predictive error
29. ___________ is not a characteristic of a data warehouse.
volatile data
system catalog
Cartesian
drill-across report
30. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
UNION
numeric prediction
groves law
data mart
31. 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.
Regression analysis
volatile data
database administrator
MOLAP
32. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
changing/UPDATE-ing
Document Analyzer
lift charts
semantic object
33. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
Top-down approach
artificial Key
Association
groves law
34. Twice as likely to identify the important class (compared to avg. prevalence)
Sum
decile chart
artificial Key
association semantic object
35. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
maximum
performance metrics - Numeric Prediction
Count
the relationship
36. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
data visualization
changing/UPDATE-ing
groves law
maximum
37. The product of two tables is also called the ________ product.
cascading delete
drill-across report
Cartesian
decile chart
38. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
ERD Modeling
average error
performance metrics - Numeric Prediction
Transformation
39. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
knowledge data discovery
Referential integrity
market basket analysis
composite semantic objects
40. Are a data mining technology.
maximum
neural networks & Decision Trees
Insert
degrees of summarization
41. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
principle component analysis
semantic object (SOL) attribute
knowledge data discovery
PRIMARY KEY (CustomerNum)
42. ___________________ 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
Regression analysis
operational and external layer
drill-across report
Cartesian
43. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
MOLAP
maximum
numeric prediction
dimension
44. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
UNION
dimension
semantic object
Sum
45. 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
surrogate key
project readiness assessment factor
dimension
lift charts
46. 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.
OLAP
UNION
semantic object
changing/UPDATE-ing
47. The deletion of a record that also deletes related records is referred to as a(n) _____.
cascading delete
performance metrics - Numeric Prediction
Association
lift charts
48. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
machine learning
association semantic object
performance metrics - Numeric Prediction
Scope creep
49. 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 ________________.
surrogate key
numeric prediction
transformation mapping
drill-across report
50. Information about tables in the database is kept in the _____.
Insert
system catalog
MOLAP
DROP TABLE Salesrep;