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