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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. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
machine learning
measuring predictive error
ALTER TABLE Part DELETE Warehouse;
data mart
2. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
data visualization
measuring predictive error
Document Analyzer
semantic object
3. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
association semantic object
PRIMARY KEY (CustomerNum)
lift charts
dimension
4. Which statement removes the table Salesrep from a DBMS?
artificial Key
DROP TABLE Salesrep;
knowledge data discovery
Revoke
5. 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.
volatile data
data mart
UNION
The degree of granularity
6. You can save the results of a query as a table by including the _____ clause in the query.
database administrator
Into
Group By
The degree of granularity
7. 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.
OLAP
MOLAP
operational and external layer
Document Analyzer
8. Twice as likely to identify the important class (compared to avg. prevalence)
Into
decile chart
near-line secondary storage devices
Revoke
9. ___________ determines exactly what level of detail constitutes a fact record.
The degree of granularity
Into
maximum
Fact or Measurement table
10. The product of two tables is also called the ________ product.
Fact or Measurement table
semantic object (SOL) attribute
composite semantic objects
Cartesian
11. The process by which numerical data is converted into graphical images is referred to as:
groves law
measuring predictive error
data visualization
Breakeven analysis
12. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
OLAP
Transformation
neural networks & Decision Trees
volatile data
13. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
semantic object
degrees of summarization
Into
MOLAP
14. 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 relationship
Top-down approach
project readiness assessment factor
15. 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
surrogate key
data visualization
Insert
performance metrics - Numeric Prediction
16. The SQL command for deleting the Warehouse field from the Part table is _____.
ALTER TABLE Part DELETE Warehouse;
Document Analyzer
MAE (Mean Absolute Error) deviation
OLAP
17. The deletion of a record that also deletes related records is referred to as a(n) _____.
cascading delete
recognizing known patterns
Top-down approach
data mart
18. _________ 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.
Horizontal integration
Scope creep
recognizing known patterns
groves law
19. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
PRIMARY KEY (CustomerNum)
ALTER TABLE Part DELETE Warehouse;
lift charts
Regression analysis
20. To add a new row to a table - use the _____ command.
Regression analysis
Revoke
Transformation
Insert
21. An economic feasibility measure. So is Internal rate of return.
OLAP
Breakeven analysis
performance metrics - Numeric Prediction
n
22. Are a data mining technology.
n
neural networks & Decision Trees
principle component analysis
data mining
23. A compound semantic object is an object that contains at least one ____.
Revoke
principle component analysis
data mart
semantic object (SOL) attribute
24. Information about tables in the database is kept in the _____.
system catalog
DROP TABLE Salesrep;
Count
Regression analysis
25. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
volatile data
Insert
database administrator
maximum
26. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
Sum
average error
degrees of summarization
Referential integrity
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:
market basket analysis
DROP TABLE Salesrep;
maximum
system catalog
28. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
performance metrics - Numeric Prediction
PRIMARY KEY (CustomerNum)
semantic object
Association
29. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
aggregate
Horizontal integration
numeric prediction
n
30. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
Scope creep
changing/UPDATE-ing
average error
Group By
31. 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
association semantic object
data visualization
Group By
32. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
knowledge data discovery
operational and external layer
UNION
lift charts
33. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
degrees of summarization
Count
association semantic object
maximum
34. A _____________ is a system-generated primary key.
surrogate key
volatile data
project readiness assessment factor
performance metrics - Numeric Prediction
35. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
groves law
recognizing known patterns
dimension
Top-down approach
36. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
Scope creep
surrogate key
Referential integrity
machine learning
37. These are considered an alternate storage techniques for data warehousing include.
Transformation
The degree of granularity
Top-down approach
near-line secondary storage devices
38. 'Signatures' are used for intrusion detection by _______?
Document Analyzer
semantic object
recognizing known patterns
volatile data
39. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
Top-down approach
operational and external layer
PRIMARY KEY (CustomerNum)
40. ___________ is not a characteristic of a data warehouse.
Insert
Breakeven analysis
volatile data
OLAP
41. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
knowledge data discovery
performance metrics - Numeric Prediction
UNION
changing/UPDATE-ing
42. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
degrees of summarization
transformation mapping
volatile data
Group By
43. 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
performance metrics - Numeric Prediction
DROP TABLE Salesrep;
association semantic object
44. 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)
machine learning
system catalog
measuring predictive error
maximum
45. Which statement will take away user privileges to the database?
Scope creep
Revoke
average error
near-line secondary storage devices
46. A synonym for data mining
knowledge data discovery
data mining
surrogate key
recognizing known patterns
47. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
project readiness assessment factor
maximum
semantic object (SOL) attribute
n
48. A ___________ combines result sets from more than one fact table.
drill-across report
PRIMARY KEY (CustomerNum)
DROP TABLE Salesrep;
performance metrics - Numeric Prediction
49. Which of the following is at the center of a star schema?
operational and external layer
Fact or Measurement table
groves law
Referential integrity
50. When an entity has a minimum cardinality of one it means the entity is required in _______.
data mart
changing/UPDATE-ing
the relationship
principle component analysis