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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. Gives us an idea of the magnitude of errors. Actual value - estimated value.
numeric prediction
neural networks & Decision Trees
MAE (Mean Absolute Error) deviation
knowledge data discovery
2. ___________ determines exactly what level of detail constitutes a fact record.
volatile data
ALTER TABLE Part DELETE Warehouse;
DROP TABLE Salesrep;
The degree of granularity
3. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
near-line secondary storage devices
principle component analysis
database administrator
performance metrics - Numeric Prediction
4. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
groves law
changing/UPDATE-ing
semantic object (SOL) attribute
volatile data
5. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
Into
recognizing known patterns
dimension
numeric prediction
6. To add a new row to a table - use the _____ command.
Transformation
Breakeven analysis
Referential integrity
Insert
7. Which clause would be used to create groups of records?
ALTER TABLE Part DELETE Warehouse;
artificial Key
database administrator
Group By
8. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
degrees of summarization
MAE (Mean Absolute Error) deviation
changing/UPDATE-ing
Top-down approach
9. 'Signatures' are used for intrusion detection by _______?
recognizing known patterns
OLAP
Insert
Breakeven analysis
10. Which function should be used to calculate the total of all entries in a given column?
Sum
The degree of granularity
market basket analysis
artificial Key
11. You can save the results of a query as a table by including the _____ clause in the query.
Into
Count
project readiness assessment factor
PRIMARY KEY (CustomerNum)
12. Which statement removes the table Salesrep from a DBMS?
knowledge data discovery
n
Horizontal integration
DROP TABLE Salesrep;
13. 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 semantic object
Horizontal integration
artificial Key
decile chart
14. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
lift charts
Referential integrity
groves law
the relationship
15. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
the relationship
Document Analyzer
system catalog
recognizing known patterns
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.
degrees of summarization
MOLAP
decile chart
Scope creep
17. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
numeric prediction
Transformation
system catalog
knowledge data discovery
18. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
Document Analyzer
ALTER TABLE Part DELETE Warehouse;
database administrator
average error
19. ___________ is not a characteristic of a data warehouse.
volatile data
cascading delete
market basket analysis
Sum
20. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
Cartesian
data mining
PRIMARY KEY (CustomerNum)
Document Analyzer
21. _________ 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.
dimension
measuring predictive error
Horizontal integration
data visualization
22. 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
operational and external layer
the relationship
MOLAP
23. 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 ________________.
database administrator
surrogate key
transformation mapping
near-line secondary storage devices
24. The deletion of a record that also deletes related records is referred to as a(n) _____.
cascading delete
operational and external layer
MAE (Mean Absolute Error) deviation
DROP TABLE Salesrep;
25. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
drill-across report
principle component analysis
data mining
data mart
26. 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
data visualization
Scope creep
UNION
27. A compound semantic object is an object that contains at least one ____.
ERD Modeling
semantic object (SOL) attribute
Fact or Measurement table
The degree of granularity
28. A _____________ is a system-generated primary key.
DROP TABLE Salesrep;
data mining
machine learning
surrogate key
29. An ___________ relates two other objects.
degrees of summarization
association semantic object
average error
OLAP
30. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
changing/UPDATE-ing
average error
semantic object (SOL) attribute
market basket analysis
31. 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
maximum
ALTER TABLE Part DELETE Warehouse;
lift charts
Regression analysis
32. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
changing/UPDATE-ing
Scope creep
The degree of granularity
Insert
33. Which of the following is at the center of a star schema?
Top-down approach
ALTER TABLE Part DELETE Warehouse;
Count
Fact or Measurement table
34. Which statement will take away user privileges to the database?
degrees of summarization
Revoke
Referential integrity
maximum
35. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
Revoke
Insert
PRIMARY KEY (CustomerNum)
measuring predictive error
36. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
Top-down approach
degrees of summarization
cascading delete
Association
37. 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.
principle component analysis
dimension
knowledge data discovery
OLAP
38. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
dimension
data mining
market basket analysis
machine learning
39. Information about tables in the database is kept in the _____.
system catalog
artificial Key
cascading delete
semantic object (SOL) attribute
40. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
artificial Key
transformation mapping
numeric prediction
Sum
41. 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.
semantic object
the relationship
UNION
Group By
42. 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
Association
ALTER TABLE Part DELETE Warehouse;
market basket analysis
43. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
system catalog
surrogate key
project readiness assessment factor
ERD Modeling
44. The SQL command for deleting the Warehouse field from the Part table is _____.
aggregate
ALTER TABLE Part DELETE Warehouse;
dimension
recognizing known patterns
45. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
n
Insert
neural networks & Decision Trees
46. ___________________ 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
the relationship
Regression analysis
Top-down approach
maximum
47. The product of two tables is also called the ________ product.
Cartesian
n
The degree of granularity
data mining
48. Twice as likely to identify the important class (compared to avg. prevalence)
measuring predictive error
Top-down approach
Horizontal integration
decile chart
49. Are a data mining technology.
MAE (Mean Absolute Error) deviation
recognizing known patterns
neural networks & Decision Trees
Sum
50. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
composite semantic objects
maximum
UNION
recognizing known patterns