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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. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
DROP TABLE Salesrep;
knowledge data discovery
operational and external layer
UNION
2. The deletion of a record that also deletes related records is referred to as a(n) _____.
operational and external layer
artificial Key
cascading delete
DROP TABLE Salesrep;
3. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
n
data mining
Cartesian
performance metrics - Numeric Prediction
4. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
market basket analysis
ERD Modeling
degrees of summarization
surrogate key
5. 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
Breakeven analysis
performance metrics - Numeric Prediction
dimension
PRIMARY KEY (CustomerNum)
6. 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.
Regression analysis
degrees of summarization
market basket analysis
UNION
7. 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 ________________.
groves law
MOLAP
lift charts
transformation mapping
8. 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
PRIMARY KEY (CustomerNum)
artificial Key
Document Analyzer
9. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
maximum
Breakeven analysis
Transformation
changing/UPDATE-ing
10. The process by which numerical data is converted into graphical images is referred to as:
numeric prediction
dimension
data visualization
UNION
11. An ___________ relates two other objects.
cascading delete
Top-down approach
OLAP
association semantic object
12. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
volatile data
knowledge data discovery
average error
numeric prediction
13. The SQL command for deleting the Warehouse field from the Part table is _____.
artificial Key
maximum
ALTER TABLE Part DELETE Warehouse;
performance metrics - Numeric Prediction
14. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
machine learning
n
PRIMARY KEY (CustomerNum)
15. ___________________ 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
data mining
Regression analysis
Insert
Breakeven analysis
16. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
aggregate
groves law
Association
artificial Key
17. 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.
Into
performance metrics - Numeric Prediction
dimension
OLAP
18. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
PRIMARY KEY (CustomerNum)
Association
MOLAP
association semantic object
19. Information about tables in the database is kept in the _____.
ERD Modeling
MOLAP
machine learning
system catalog
20. This is not considered one of the four major categories of processing algorithms and rule approaches.
changing/UPDATE-ing
principle component analysis
transformation mapping
Regression analysis
21. ___________ determines exactly what level of detail constitutes a fact record.
dimension
volatile data
DROP TABLE Salesrep;
The degree of granularity
22. Are a data mining technology.
the relationship
neural networks & Decision Trees
degrees of summarization
OLAP
23. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
surrogate key
data mart
machine learning
Sum
24. You can save the results of a query as a table by including the _____ clause in the query.
decile chart
groves law
Into
Fact or Measurement table
25. Which function calculates the number of entries in a table?
machine learning
decile chart
Count
measuring predictive error
26. Which of the following is at the center of a star schema?
Fact or Measurement table
Top-down approach
project readiness assessment factor
decile chart
27. Which function should be used to calculate the total of all entries in a given column?
groves law
Scope creep
Sum
data mart
28. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
Top-down approach
cascading delete
data mart
Scope creep
29. To add a new row to a table - use the _____ command.
n
Breakeven analysis
recognizing known patterns
Insert
30. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
neural networks & Decision Trees
operational and external layer
data visualization
semantic object
31. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
Cartesian
cascading delete
numeric prediction
measuring predictive error
32. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
average error
project readiness assessment factor
data mining
cascading delete
33. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
Revoke
aggregate
DROP TABLE Salesrep;
ERD Modeling
34. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
system catalog
Transformation
dimension
maximum
35. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
operational and external layer
PRIMARY KEY (CustomerNum)
aggregate
MOLAP
36. Which statement will take away user privileges to the database?
the relationship
Revoke
Top-down approach
database administrator
37. An economic feasibility measure. So is Internal rate of return.
Breakeven analysis
cascading delete
artificial Key
Regression analysis
38. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
maximum
Insert
OLAP
cascading delete
39. 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)
measuring predictive error
groves law
Association
system catalog
40. 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
aggregate
composite semantic objects
operational and external layer
41. A _____________ is a system-generated primary key.
The degree of granularity
recognizing known patterns
surrogate key
dimension
42. A ___________ combines result sets from more than one fact table.
Association
ERD Modeling
drill-across report
Referential integrity
43. When an entity has a minimum cardinality of one it means the entity is required in _______.
ERD Modeling
n
PRIMARY KEY (CustomerNum)
the relationship
44. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
composite semantic objects
Revoke
association semantic object
groves law
45. A synonym for data mining
volatile data
knowledge data discovery
Horizontal integration
data mining
46. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
operational and external layer
Referential integrity
Breakeven analysis
Cartesian
47. 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:
numeric prediction
recognizing known patterns
MOLAP
market basket analysis
48. ___________ is not a characteristic of a data warehouse.
volatile data
PRIMARY KEY (CustomerNum)
association semantic object
Insert
49. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
n
data mart
Document Analyzer
Regression analysis
50. Gives us an idea of the magnitude of errors. Actual value - estimated value.
market basket analysis
MAE (Mean Absolute Error) deviation
Count
recognizing known patterns