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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 term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
semantic object (SOL) attribute
data mart
Revoke
Transformation
2. Gives us an idea of the magnitude of errors. Actual value - estimated value.
Into
MAE (Mean Absolute Error) deviation
maximum
lift charts
3. 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
project readiness assessment factor
Top-down approach
Breakeven analysis
4. The deletion of a record that also deletes related records is referred to as a(n) _____.
cascading delete
Revoke
numeric prediction
changing/UPDATE-ing
5. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
Document Analyzer
n
market basket analysis
dimension
6. Twice as likely to identify the important class (compared to avg. prevalence)
DROP TABLE Salesrep;
decile chart
artificial Key
Revoke
7. When an entity has a minimum cardinality of one it means the entity is required in _______.
Top-down approach
maximum
the relationship
lift charts
8. Information about tables in the database is kept in the _____.
MOLAP
decile chart
system catalog
lift charts
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.
ALTER TABLE Part DELETE Warehouse;
maximum
Horizontal integration
groves law
10. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
association semantic object
market basket analysis
Top-down approach
system catalog
11. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
Insert
lift charts
machine learning
Association
12. 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
Breakeven analysis
market basket analysis
changing/UPDATE-ing
13. Which function should be used to calculate the total of all entries in a given column?
data visualization
transformation mapping
Sum
DROP TABLE Salesrep;
14. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
system catalog
ALTER TABLE Part DELETE Warehouse;
Insert
Scope creep
15. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
Association
measuring predictive error
degrees of summarization
Insert
16. 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.
operational and external layer
MOLAP
semantic object (SOL) attribute
project readiness assessment factor
17. 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
volatile data
Fact or Measurement table
decile chart
18. 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 ________________.
Regression analysis
transformation mapping
Cartesian
Group By
19. 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
volatile data
recognizing known patterns
Cartesian
20. ___________________ 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
DROP TABLE Salesrep;
Regression analysis
Referential integrity
data visualization
21. To add a new row to a table - use the _____ command.
Insert
near-line secondary storage devices
volatile data
UNION
22. An ___________ relates two other objects.
semantic object (SOL) attribute
association semantic object
Scope creep
machine learning
23. 'Signatures' are used for intrusion detection by _______?
drill-across report
principle component analysis
recognizing known patterns
measuring predictive error
24. 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
decile chart
data mart
database administrator
25. A _____________ is a system-generated primary key.
UNION
groves law
surrogate key
DROP TABLE Salesrep;
26. An economic feasibility measure. So is Internal rate of return.
market basket analysis
operational and external layer
Breakeven analysis
dimension
27. A ___________ combines result sets from more than one fact table.
drill-across report
Insert
average error
knowledge data discovery
28. 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
Count
ALTER TABLE Part DELETE Warehouse;
The degree of granularity
29. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
groves law
recognizing known patterns
changing/UPDATE-ing
PRIMARY KEY (CustomerNum)
30. 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
Document Analyzer
semantic object
31. The product of two tables is also called the ________ product.
Cartesian
performance metrics - Numeric Prediction
Transformation
Regression analysis
32. 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) ____________.
Association
Document Analyzer
artificial Key
Horizontal integration
33. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
Document Analyzer
neural networks & Decision Trees
OLAP
Cartesian
34. Which statement will take away user privileges to the database?
Revoke
Insert
degrees of summarization
knowledge data discovery
35. These are considered an alternate storage techniques for data warehousing include.
semantic object
near-line secondary storage devices
Into
measuring predictive error
36. You can save the results of a query as a table by including the _____ clause in the query.
groves law
drill-across report
numeric prediction
Into
37. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
changing/UPDATE-ing
performance metrics - Numeric Prediction
recognizing known patterns
neural networks & Decision Trees
38. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
database administrator
Cartesian
association semantic object
39. The process by which numerical data is converted into graphical images is referred to as:
lift charts
Scope creep
data visualization
neural networks & Decision Trees
40. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
maximum
system catalog
changing/UPDATE-ing
data mining
41. A synonym for data mining
near-line secondary storage devices
transformation mapping
principle component analysis
knowledge data discovery
42. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
market basket analysis
maximum
MAE (Mean Absolute Error) deviation
Referential integrity
43. Are a data mining technology.
transformation mapping
decile chart
neural networks & Decision Trees
Count
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.
Transformation
ERD Modeling
UNION
Breakeven analysis
45. ___________ determines exactly what level of detail constitutes a fact record.
ALTER TABLE Part DELETE Warehouse;
semantic object
composite semantic objects
The degree of granularity
46. Which function calculates the number of entries in a table?
n
knowledge data discovery
Count
numeric prediction
47. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
Horizontal integration
Cartesian
database administrator
n
48. The SQL command for deleting the Warehouse field from the Part table is _____.
measuring predictive error
Top-down approach
ALTER TABLE Part DELETE Warehouse;
Cartesian
49. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
Revoke
semantic object
PRIMARY KEY (CustomerNum)
Regression analysis
50. This is not considered one of the four major categories of processing algorithms and rule approaches.
artificial Key
drill-across report
the relationship
principle component analysis