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