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