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