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