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