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