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