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