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