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