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