SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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. The deletion of a record that also deletes related records is referred to as a(n) _____.
principle component analysis
market basket analysis
Group By
cascading delete
2. 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
aggregate
DROP TABLE Salesrep;
numeric prediction
lift charts
3. Which function should be used to calculate the total of all entries in a given column?
principle component analysis
Sum
drill-across report
recognizing known patterns
4. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
Fact or Measurement table
machine learning
OLAP
Top-down approach
5. Gives us an idea of the magnitude of errors. Actual value - estimated value.
lift charts
PRIMARY KEY (CustomerNum)
Association
MAE (Mean Absolute Error) deviation
6. An economic feasibility measure. So is Internal rate of return.
neural networks & Decision Trees
operational and external layer
Breakeven analysis
decile chart
7. ___________________ 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
surrogate key
groves law
aggregate
Regression analysis
8. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
lift charts
degrees of summarization
Transformation
Association
9. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
performance metrics - Numeric Prediction
database administrator
Count
knowledge data discovery
10. The process by which numerical data is converted into graphical images is referred to as:
degrees of summarization
data visualization
decile chart
semantic object
11. To add a new row to a table - use the _____ command.
Insert
volatile data
market basket analysis
operational and external layer
12. These are considered an alternate storage techniques for data warehousing include.
performance metrics - Numeric Prediction
near-line secondary storage devices
DROP TABLE Salesrep;
Referential integrity
13. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
Sum
principle component analysis
dimension
neural networks & Decision Trees
14. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
data mart
Count
artificial Key
Revoke
15. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
degrees of summarization
Group By
machine learning
changing/UPDATE-ing
16. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
data mining
composite semantic objects
operational and external layer
Top-down approach
17. 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 ________________.
Breakeven analysis
database administrator
Revoke
transformation mapping
18. A _____________ is a system-generated primary key.
surrogate key
The degree of granularity
Insert
UNION
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.
neural networks & Decision Trees
data visualization
Group By
OLAP
20. 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
Scope creep
semantic object (SOL) attribute
MOLAP
21. 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
aggregate
MOLAP
cascading delete
22. The SQL command for deleting the Warehouse field from the Part table is _____.
database administrator
ALTER TABLE Part DELETE Warehouse;
dimension
machine learning
23. You can save the results of a query as a table by including the _____ clause in the query.
Sum
Into
n
semantic object
24. 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:
groves law
measuring predictive error
operational and external layer
market basket analysis
25. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
groves law
dimension
lift charts
Breakeven analysis
26. Which statement will take away user privileges to the database?
Revoke
semantic object (SOL) attribute
association semantic object
decile chart
27. A ___________ combines result sets from more than one fact table.
drill-across report
decile chart
Into
Insert
28. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
numeric prediction
principle component analysis
Cartesian
Scope creep
29. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
Document Analyzer
data mart
semantic object
Top-down approach
30. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
UNION
composite semantic objects
OLAP
measuring predictive error
31. _________ 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.
system catalog
Horizontal integration
Group By
semantic object (SOL) attribute
32. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
data mart
OLAP
near-line secondary storage devices
Referential integrity
33. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
numeric prediction
semantic object
semantic object (SOL) attribute
Into
34. An ___________ relates two other objects.
association semantic object
groves law
the relationship
measuring predictive error
35. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
UNION
data mart
numeric prediction
system catalog
36. Information about tables in the database is kept in the _____.
system catalog
Fact or Measurement table
composite semantic objects
knowledge data discovery
37. Are a data mining technology.
neural networks & Decision Trees
The degree of granularity
Fact or Measurement table
data mart
38. Which statement removes the table Salesrep from a DBMS?
Regression analysis
performance metrics - Numeric Prediction
measuring predictive error
DROP TABLE Salesrep;
39. Twice as likely to identify the important class (compared to avg. prevalence)
decile chart
surrogate key
Referential integrity
transformation mapping
40. A synonym for data mining
DROP TABLE Salesrep;
knowledge data discovery
data visualization
maximum
41. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
degrees of summarization
measuring predictive error
Referential integrity
data visualization
42. The product of two tables is also called the ________ product.
Cartesian
market basket analysis
changing/UPDATE-ing
average error
43. This is not considered one of the four major categories of processing algorithms and rule approaches.
system catalog
performance metrics - Numeric Prediction
principle component analysis
Revoke
44. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
lift charts
aggregate
Cartesian
dimension
45. 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
association semantic object
performance metrics - Numeric Prediction
Top-down approach
semantic object
46. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
market basket analysis
Referential integrity
Breakeven analysis
n
47. ___________ determines exactly what level of detail constitutes a fact record.
UNION
data mining
Sum
The degree of granularity
48. An analytical-oriented organizational structure is a data warehouse _____________.
near-line secondary storage devices
The degree of granularity
project readiness assessment factor
Count
49. ___________ is not a characteristic of a data warehouse.
artificial Key
Scope creep
volatile data
Insert
50. Which function calculates the number of entries in a table?
decile chart
Transformation
Count
neural networks & Decision Trees