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. Which statement removes the table Salesrep from a DBMS?
operational and external layer
Cartesian
DROP TABLE Salesrep;
semantic object
2. The product of two tables is also called the ________ product.
Transformation
Cartesian
Sum
degrees of summarization
3. _________ 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.
Top-down approach
Horizontal integration
ALTER TABLE Part DELETE Warehouse;
Count
4. 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)
volatile data
principle component analysis
Group By
measuring predictive error
5. The process by which numerical data is converted into graphical images is referred to as:
data visualization
Scope creep
ALTER TABLE Part DELETE Warehouse;
MOLAP
6. 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.
surrogate key
Revoke
data mining
MOLAP
7. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
decile chart
Regression analysis
ERD Modeling
maximum
8. Information about tables in the database is kept in the _____.
The degree of granularity
market basket analysis
semantic object
system catalog
9. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
Transformation
volatile data
PRIMARY KEY (CustomerNum)
Group By
10. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
Document Analyzer
Referential integrity
The degree of granularity
composite semantic objects
11. Gives us an idea of the magnitude of errors. Actual value - estimated value.
composite semantic objects
aggregate
system catalog
MAE (Mean Absolute Error) deviation
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
near-line secondary storage devices
lift charts
Top-down approach
semantic object
13. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
market basket analysis
maximum
Fact or Measurement table
operational and external layer
14. Which function should be used to calculate the total of all entries in a given column?
Sum
measuring predictive error
recognizing known patterns
DROP TABLE Salesrep;
15. A ___________ combines result sets from more than one fact table.
drill-across report
Top-down approach
system catalog
composite semantic objects
16. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
groves law
system catalog
Association
the relationship
17. Which function calculates the number of entries in a table?
surrogate key
groves law
machine learning
Count
18. The SQL command for deleting the Warehouse field from the Part table is _____.
ALTER TABLE Part DELETE Warehouse;
Sum
cascading delete
transformation mapping
19. Which clause would be used to create groups of records?
Group By
Insert
recognizing known patterns
Transformation
20. Twice as likely to identify the important class (compared to avg. prevalence)
decile chart
knowledge data discovery
numeric prediction
performance metrics - Numeric Prediction
21. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
degrees of summarization
machine learning
Referential integrity
system catalog
22. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
dimension
Scope creep
database administrator
project readiness assessment factor
23. 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 ________________.
dimension
transformation mapping
Transformation
drill-across report
24. 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.
UNION
Association
numeric prediction
OLAP
25. A compound semantic object is an object that contains at least one ____.
Cartesian
semantic object (SOL) attribute
market basket analysis
database administrator
26. A _____________ is a system-generated primary key.
Revoke
surrogate key
OLAP
DROP TABLE Salesrep;
27. 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
Scope creep
cascading delete
Fact or Measurement table
28. You can save the results of a query as a table by including the _____ clause in the query.
Into
dimension
association semantic object
n
29. The deletion of a record that also deletes related records is referred to as a(n) _____.
cascading delete
Into
Horizontal integration
semantic object (SOL) attribute
30. Which of the following is at the center of a star schema?
Sum
recognizing known patterns
Referential integrity
Fact or Measurement table
31. When an entity has a minimum cardinality of one it means the entity is required in _______.
the relationship
project readiness assessment factor
volatile data
neural networks & Decision Trees
32. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
recognizing known patterns
n
dimension
ALTER TABLE Part DELETE Warehouse;
33. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
measuring predictive error
Scope creep
composite semantic objects
Revoke
34. 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.
Regression analysis
principle component analysis
DROP TABLE Salesrep;
UNION
35. A synonym for data mining
association semantic object
knowledge data discovery
near-line secondary storage devices
project readiness assessment factor
36. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
degrees of summarization
data mart
Document Analyzer
the relationship
37. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
n
aggregate
machine learning
lift charts
38. An economic feasibility measure. So is Internal rate of return.
the relationship
project readiness assessment factor
Breakeven analysis
semantic object
39. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
Breakeven analysis
Horizontal integration
cascading delete
degrees of summarization
40. Which statement will take away user privileges to the database?
Revoke
surrogate key
operational and external layer
volatile data
41. ___________________ 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
Breakeven analysis
Regression analysis
Referential integrity
UNION
42. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
Group By
Transformation
Document Analyzer
data mining
43. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
average error
ALTER TABLE Part DELETE Warehouse;
changing/UPDATE-ing
Fact or Measurement table
44. 'Signatures' are used for intrusion detection by _______?
recognizing known patterns
PRIMARY KEY (CustomerNum)
transformation mapping
Into
45. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
Scope creep
Fact or Measurement table
UNION
semantic object (SOL) attribute
46. ___________ determines exactly what level of detail constitutes a fact record.
The degree of granularity
DROP TABLE Salesrep;
Association
Revoke
47. ___________ is not a characteristic of a data warehouse.
changing/UPDATE-ing
artificial Key
Breakeven analysis
volatile data
48. An analytical-oriented organizational structure is a data warehouse _____________.
MAE (Mean Absolute Error) deviation
Fact or Measurement table
project readiness assessment factor
Association
49. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
drill-across report
Sum
changing/UPDATE-ing
measuring predictive error
50. 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:
semantic object (SOL) attribute
Sum
Fact or Measurement table
market basket analysis