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