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