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