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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. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
surrogate key
composite semantic objects
Breakeven analysis
UNION
2. 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
groves law
performance metrics - Numeric Prediction
knowledge data discovery
OLAP
3. A synonym for data mining
knowledge data discovery
Horizontal integration
neural networks & Decision Trees
groves law
4. Which clause would be used to create groups of records?
Group By
neural networks & Decision Trees
principle component analysis
knowledge data discovery
5. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
The degree of granularity
aggregate
Revoke
Insert
6. The product of two tables is also called the ________ product.
degrees of summarization
near-line secondary storage devices
Cartesian
market basket analysis
7. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
semantic object
cascading delete
machine learning
Insert
8. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
semantic object (SOL) attribute
Into
Referential integrity
database administrator
9. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
Scope creep
Breakeven analysis
degrees of summarization
aggregate
10. A _____________ is a system-generated primary key.
drill-across report
association semantic object
surrogate key
the relationship
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.
data mining
Horizontal integration
data visualization
lift charts
12. 'Signatures' are used for intrusion detection by _______?
Into
recognizing known patterns
operational and external layer
principle component analysis
13. 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 ________________.
aggregate
composite semantic objects
knowledge data discovery
transformation mapping
14. 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) ____________.
semantic object (SOL) attribute
OLAP
surrogate key
artificial Key
15. A ___________ combines result sets from more than one fact table.
drill-across report
surrogate key
Cartesian
maximum
16. An analytical-oriented organizational structure is a data warehouse _____________.
aggregate
lift charts
project readiness assessment factor
Group By
17. An economic feasibility measure. So is Internal rate of return.
Breakeven analysis
Scope creep
PRIMARY KEY (CustomerNum)
lift charts
18. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
drill-across report
Transformation
Document Analyzer
MAE (Mean Absolute Error) deviation
19. 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.
Scope creep
UNION
semantic object
Fact or Measurement table
20. 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)
UNION
Transformation
measuring predictive error
cascading delete
21. Are a data mining technology.
data mining
cascading delete
changing/UPDATE-ing
neural networks & Decision Trees
22. When an entity has a minimum cardinality of one it means the entity is required in _______.
Breakeven analysis
the relationship
changing/UPDATE-ing
Document Analyzer
23. This is not considered one of the four major categories of processing algorithms and rule approaches.
Sum
principle component analysis
n
aggregate
24. 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
Count
The degree of granularity
n
25. You can save the results of a query as a table by including the _____ clause in the query.
semantic object
Into
database administrator
Association
26. 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:
market basket analysis
Top-down approach
knowledge data discovery
volatile data
27. Information about tables in the database is kept in the _____.
system catalog
data mart
association semantic object
operational and external layer
28. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
volatile data
recognizing known patterns
surrogate key
groves law
29. Which statement will take away user privileges to the database?
Referential integrity
Document Analyzer
Revoke
MOLAP
30. 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
average error
drill-across report
Scope creep
31. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
knowledge data discovery
composite semantic objects
database administrator
Count
32. ___________ is not a characteristic of a data warehouse.
The degree of granularity
volatile data
Referential integrity
ALTER TABLE Part DELETE Warehouse;
33. Which of the following is at the center of a star schema?
The degree of granularity
Document Analyzer
Fact or Measurement table
data mining
34. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
machine learning
Group By
Insert
Scope creep
35. 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.
UNION
OLAP
Regression analysis
knowledge data discovery
36. To add a new row to a table - use the _____ command.
association semantic object
Insert
ALTER TABLE Part DELETE Warehouse;
average error
37. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
UNION
dimension
composite semantic objects
groves law
38. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
Referential integrity
Count
data mart
n
39. The process by which numerical data is converted into graphical images is referred to as:
machine learning
data visualization
Document Analyzer
volatile data
40. 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
data mart
recognizing known patterns
MOLAP
41. Which statement removes the table Salesrep from a DBMS?
principle component analysis
artificial Key
MOLAP
DROP TABLE Salesrep;
42. Gives us an idea of the magnitude of errors. Actual value - estimated value.
performance metrics - Numeric Prediction
MAE (Mean Absolute Error) deviation
changing/UPDATE-ing
knowledge data discovery
43. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
numeric prediction
system catalog
MAE (Mean Absolute Error) deviation
Fact or Measurement table
44. Twice as likely to identify the important class (compared to avg. prevalence)
data mart
ERD Modeling
decile chart
operational and external layer
45. The deletion of a record that also deletes related records is referred to as a(n) _____.
project readiness assessment factor
MOLAP
n
cascading delete
46. 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
drill-across report
average error
lift charts
MAE (Mean Absolute Error) deviation
47. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
aggregate
drill-across report
data mining
maximum
48. ___________ determines exactly what level of detail constitutes a fact record.
The degree of granularity
recognizing known patterns
near-line secondary storage devices
Insert
49. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
UNION
neural networks & Decision Trees
data mining
surrogate key
50. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
artificial Key
changing/UPDATE-ing
UNION
DROP TABLE Salesrep;