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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. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
dimension
semantic object
database administrator
Group By
2. ___________ is not a characteristic of a data warehouse.
volatile data
data mart
MAE (Mean Absolute Error) deviation
Horizontal integration
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
decile chart
OLAP
data mart
4. 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.
lift charts
PRIMARY KEY (CustomerNum)
surrogate key
UNION
5. This is not considered one of the four major categories of processing algorithms and rule approaches.
Count
near-line secondary storage devices
principle component analysis
average error
6. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
Count
Transformation
aggregate
ALTER TABLE Part DELETE Warehouse;
7. 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) ____________.
measuring predictive error
UNION
artificial Key
neural networks & Decision Trees
8. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
Scope creep
volatile data
numeric prediction
Fact or Measurement table
9. 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
OLAP
principle component analysis
Revoke
10. _________ 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.
The degree of granularity
Horizontal integration
Breakeven analysis
the relationship
11. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
MOLAP
Into
artificial Key
Association
12. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
dimension
system catalog
composite semantic objects
knowledge data discovery
13. 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
The degree of granularity
Count
market basket analysis
14. Which statement will take away user privileges to the database?
Revoke
recognizing known patterns
Count
lift charts
15. Twice as likely to identify the important class (compared to avg. prevalence)
Insert
decile chart
Group By
data mart
16. To add a new row to a table - use the _____ command.
Revoke
MOLAP
Insert
UNION
17. Which of the following is at the center of a star schema?
Fact or Measurement table
transformation mapping
recognizing known patterns
numeric prediction
18. An ___________ relates two other objects.
PRIMARY KEY (CustomerNum)
Association
data mining
association semantic object
19. 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:
Regression analysis
market basket analysis
principle component analysis
ERD Modeling
20. The SQL command for deleting the Warehouse field from the Part table is _____.
MOLAP
Sum
ALTER TABLE Part DELETE Warehouse;
UNION
21. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
knowledge data discovery
data mart
machine learning
Referential integrity
22. An economic feasibility measure. So is Internal rate of return.
artificial Key
semantic object
Breakeven analysis
Count
23. 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.
average error
MOLAP
composite semantic objects
decile chart
24. The product of two tables is also called the ________ product.
performance metrics - Numeric Prediction
changing/UPDATE-ing
recognizing known patterns
Cartesian
25. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
association semantic object
machine learning
operational and external layer
average error
26. A synonym for data mining
near-line secondary storage devices
Referential integrity
data mining
knowledge data discovery
27. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
changing/UPDATE-ing
Insert
UNION
numeric prediction
28. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
dimension
transformation mapping
MAE (Mean Absolute Error) deviation
data mart
29. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
Fact or Measurement table
Document Analyzer
measuring predictive error
Revoke
30. 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
the relationship
Group By
principle component analysis
31. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
changing/UPDATE-ing
association semantic object
Revoke
n
32. Which clause would be used to create groups of records?
data mining
semantic object
Group By
Top-down approach
33. Gives us an idea of the magnitude of errors. Actual value - estimated value.
performance metrics - Numeric Prediction
degrees of summarization
association semantic object
MAE (Mean Absolute Error) deviation
34. A _____________ is a system-generated primary key.
Group By
transformation mapping
ALTER TABLE Part DELETE Warehouse;
surrogate key
35. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
Insert
Scope creep
composite semantic objects
OLAP
36. Information about tables in the database is kept in the _____.
groves law
recognizing known patterns
data visualization
system catalog
37. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
data visualization
MAE (Mean Absolute Error) deviation
aggregate
Horizontal integration
38. Are a data mining technology.
measuring predictive error
knowledge data discovery
average error
neural networks & Decision Trees
39. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
ERD Modeling
Scope creep
drill-across report
knowledge data discovery
40. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
numeric prediction
Revoke
the relationship
maximum
41. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
average error
data mining
n
Insert
42. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
knowledge data discovery
Fact or Measurement table
PRIMARY KEY (CustomerNum)
neural networks & Decision Trees
43. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
maximum
cascading delete
OLAP
Top-down approach
44. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
performance metrics - Numeric Prediction
degrees of summarization
operational and external layer
MAE (Mean Absolute Error) deviation
45. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
machine learning
Transformation
semantic object
data mining
46. 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
PRIMARY KEY (CustomerNum)
performance metrics - Numeric Prediction
measuring predictive error
data mining
47. These are considered an alternate storage techniques for data warehousing include.
The degree of granularity
database administrator
drill-across report
near-line secondary storage devices
48. An analytical-oriented organizational structure is a data warehouse _____________.
neural networks & Decision Trees
n
project readiness assessment factor
Fact or Measurement table
49. Which statement removes the table Salesrep from a DBMS?
DROP TABLE Salesrep;
UNION
Into
groves law
50. When an entity has a minimum cardinality of one it means the entity is required in _______.
numeric prediction
the relationship
The degree of granularity
ALTER TABLE Part DELETE Warehouse;