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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. The product of two tables is also called the ________ product.
drill-across report
the relationship
performance metrics - Numeric Prediction
Cartesian
2. 'Signatures' are used for intrusion detection by _______?
artificial Key
Count
recognizing known patterns
semantic object
3. ___________ is not a characteristic of a data warehouse.
volatile data
PRIMARY KEY (CustomerNum)
Into
decile chart
4. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
UNION
Sum
Scope creep
transformation mapping
5. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
DROP TABLE Salesrep;
PRIMARY KEY (CustomerNum)
the relationship
recognizing known patterns
6. A synonym for data mining
market basket analysis
knowledge data discovery
Referential integrity
Sum
7. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
degrees of summarization
numeric prediction
principle component analysis
neural networks & Decision Trees
8. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
numeric prediction
market basket analysis
project readiness assessment factor
surrogate key
9. An ___________ relates two other objects.
machine learning
Transformation
association semantic object
transformation mapping
10. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
the relationship
association semantic object
semantic object (SOL) attribute
composite semantic objects
11. ___________ determines exactly what level of detail constitutes a fact record.
Referential integrity
The degree of granularity
lift charts
ERD Modeling
12. 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
Referential integrity
Top-down approach
principle component analysis
13. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
average error
Revoke
Scope creep
changing/UPDATE-ing
14. Which function calculates the number of entries in a table?
drill-across report
semantic object
machine learning
Count
15. The process by which numerical data is converted into graphical images is referred to as:
Scope creep
data visualization
Horizontal integration
Top-down approach
16. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
association semantic object
volatile data
Transformation
machine learning
17. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
Sum
MOLAP
average error
maximum
18. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
DROP TABLE Salesrep;
database administrator
maximum
neural networks & Decision Trees
19. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
changing/UPDATE-ing
ERD Modeling
project readiness assessment factor
groves law
20. An economic feasibility measure. So is Internal rate of return.
Cartesian
surrogate key
dimension
Breakeven analysis
21. Information about tables in the database is kept in the _____.
Insert
Count
near-line secondary storage devices
system catalog
22. A compound semantic object is an object that contains at least one ____.
average error
semantic object (SOL) attribute
ERD Modeling
system catalog
23. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
Top-down approach
groves law
near-line secondary storage devices
Horizontal integration
24. This is not considered one of the four major categories of processing algorithms and rule approaches.
lift charts
principle component analysis
performance metrics - Numeric Prediction
Group By
25. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
surrogate key
measuring predictive error
semantic object (SOL) attribute
Transformation
26. _________ 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.
Count
knowledge data discovery
Horizontal integration
Revoke
27. Which clause would be used to create groups of records?
Association
data mining
aggregate
Group By
28. 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
Referential integrity
performance metrics - Numeric Prediction
semantic object
operational and external layer
29. Twice as likely to identify the important class (compared to avg. prevalence)
Transformation
artificial Key
neural networks & Decision Trees
decile chart
30. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
measuring predictive error
Regression analysis
data visualization
Document Analyzer
31. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
surrogate key
average error
The degree of granularity
aggregate
32. 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
Into
lift charts
degrees of summarization
33. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
market basket analysis
groves law
ALTER TABLE Part DELETE Warehouse;
degrees of summarization
34. A ___________ combines result sets from more than one fact table.
neural networks & Decision Trees
MAE (Mean Absolute Error) deviation
drill-across report
decile chart
35. 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.
numeric prediction
UNION
MAE (Mean Absolute Error) deviation
operational and external layer
36. Which statement removes the table Salesrep from a DBMS?
DROP TABLE Salesrep;
artificial Key
Into
average error
37. Are a data mining technology.
the relationship
neural networks & Decision Trees
degrees of summarization
OLAP
38. The deletion of a record that also deletes related records is referred to as a(n) _____.
data visualization
cascading delete
Breakeven analysis
Insert
39. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
data mart
Association
Regression analysis
operational and external layer
40. When an entity has a minimum cardinality of one it means the entity is required in _______.
measuring predictive error
aggregate
Horizontal integration
the relationship
41. ___________________ 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
knowledge data discovery
data mining
Regression analysis
Scope creep
42. Which of the following is at the center of a star schema?
semantic object
Fact or Measurement table
Referential integrity
DROP TABLE Salesrep;
43. 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
The degree of granularity
numeric prediction
average error
44. An analytical-oriented organizational structure is a data warehouse _____________.
Association
project readiness assessment factor
Transformation
Top-down approach
45. 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
market basket analysis
average error
Fact or Measurement table
46. Which function should be used to calculate the total of all entries in a given column?
neural networks & Decision Trees
Sum
artificial Key
project readiness assessment factor
47. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
Horizontal integration
semantic object
market basket analysis
Top-down approach
48. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
surrogate key
dimension
average error
degrees of summarization
49. To add a new row to a table - use the _____ command.
changing/UPDATE-ing
drill-across report
Insert
Regression analysis
50. 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)
ERD Modeling
measuring predictive error
drill-across report
machine learning