SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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. A synonym for data mining
average error
market basket analysis
knowledge data discovery
transformation mapping
2. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
neural networks & Decision Trees
principle component analysis
changing/UPDATE-ing
3. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
Referential integrity
data mart
artificial Key
the relationship
4. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
composite semantic objects
semantic object (SOL) attribute
Revoke
database administrator
5. 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
Horizontal integration
Fact or Measurement table
lift charts
Association
6. 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
knowledge data discovery
composite semantic objects
The degree of granularity
7. An economic feasibility measure. So is Internal rate of return.
Transformation
Insert
Into
Breakeven analysis
8. 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
cascading delete
degrees of summarization
average error
9. 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 ________________.
project readiness assessment factor
transformation mapping
degrees of summarization
market basket analysis
10. 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) ____________.
principle component analysis
artificial Key
composite semantic objects
operational and external layer
11. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
average error
Scope creep
composite semantic objects
system catalog
12. Gives us an idea of the magnitude of errors. Actual value - estimated value.
MAE (Mean Absolute Error) deviation
data mart
aggregate
semantic object
13. 'Signatures' are used for intrusion detection by _______?
recognizing known patterns
semantic object (SOL) attribute
drill-across report
Sum
14. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
data mining
recognizing known patterns
Breakeven analysis
Regression analysis
15. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
groves law
MOLAP
changing/UPDATE-ing
semantic object
16. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
lift charts
UNION
Transformation
association semantic object
17. 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
average error
performance metrics - Numeric Prediction
the relationship
ERD Modeling
18. A compound semantic object is an object that contains at least one ____.
database administrator
semantic object
numeric prediction
semantic object (SOL) attribute
19. ___________ is not a characteristic of a data warehouse.
volatile data
transformation mapping
MAE (Mean Absolute Error) deviation
measuring predictive error
20. A _____________ is a system-generated primary key.
Insert
surrogate key
n
Transformation
21. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
Association
association semantic object
measuring predictive error
semantic object
22. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
ALTER TABLE Part DELETE Warehouse;
degrees of summarization
MAE (Mean Absolute Error) deviation
Fact or Measurement table
23. _________ 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.
Breakeven analysis
Insert
Horizontal integration
Count
24. Which statement removes the table Salesrep from a DBMS?
ALTER TABLE Part DELETE Warehouse;
DROP TABLE Salesrep;
operational and external layer
volatile data
25. Which of the following is at the center of a star schema?
Fact or Measurement table
Insert
degrees of summarization
Horizontal integration
26. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
ERD Modeling
operational and external layer
near-line secondary storage devices
recognizing known patterns
27. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
data mart
Cartesian
DROP TABLE Salesrep;
dimension
28. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
Document Analyzer
principle component analysis
semantic object (SOL) attribute
volatile data
29. These are considered an alternate storage techniques for data warehousing include.
Referential integrity
data mart
surrogate key
near-line secondary storage devices
30. Which function calculates the number of entries in a table?
numeric prediction
Revoke
Count
measuring predictive error
31. The product of two tables is also called the ________ product.
data visualization
maximum
Revoke
Cartesian
32. ___________________ 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
The degree of granularity
Regression analysis
cascading delete
MAE (Mean Absolute Error) deviation
33. 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.
Breakeven analysis
near-line secondary storage devices
UNION
data mining
34. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
decile chart
PRIMARY KEY (CustomerNum)
the relationship
data mart
35. The deletion of a record that also deletes related records is referred to as a(n) _____.
cascading delete
DROP TABLE Salesrep;
near-line secondary storage devices
performance metrics - Numeric Prediction
36. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
PRIMARY KEY (CustomerNum)
principle component analysis
volatile data
Top-down approach
37. Information about tables in the database is kept in the _____.
system catalog
ALTER TABLE Part DELETE Warehouse;
artificial Key
Document Analyzer
38. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
UNION
recognizing known patterns
data mart
performance metrics - Numeric Prediction
39. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
decile chart
semantic object
groves law
database administrator
40. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
transformation mapping
maximum
surrogate key
neural networks & Decision Trees
41. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
near-line secondary storage devices
semantic object
numeric prediction
composite semantic objects
42. ___________ determines exactly what level of detail constitutes a fact record.
The degree of granularity
Referential integrity
maximum
Top-down approach
43. This is not considered one of the four major categories of processing algorithms and rule approaches.
artificial Key
Breakeven analysis
principle component analysis
DROP TABLE Salesrep;
44. Which statement will take away user privileges to the database?
data mining
market basket analysis
drill-across report
Revoke
45. The SQL command for deleting the Warehouse field from the Part table is _____.
OLAP
near-line secondary storage devices
Into
ALTER TABLE Part DELETE Warehouse;
46. To add a new row to a table - use the _____ command.
market basket analysis
DROP TABLE Salesrep;
the relationship
Insert
47. Twice as likely to identify the important class (compared to avg. prevalence)
data visualization
Into
volatile data
decile chart
48. The process by which numerical data is converted into graphical images is referred to as:
UNION
numeric prediction
performance metrics - Numeric Prediction
data visualization
49. 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.
Breakeven analysis
MOLAP
Scope creep
lift charts
50. When an entity has a minimum cardinality of one it means the entity is required in _______.
semantic object (SOL) attribute
dimension
average error
the relationship