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