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