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