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