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. You can save the results of a query as a table by including the _____ clause in the query.
project readiness assessment factor
data mining
Into
composite semantic objects
2. 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:
neural networks & Decision Trees
market basket analysis
MAE (Mean Absolute Error) deviation
Revoke
3. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
degrees of summarization
performance metrics - Numeric Prediction
Horizontal integration
system catalog
4. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
PRIMARY KEY (CustomerNum)
n
data mining
semantic object
5. The process by which numerical data is converted into graphical images is referred to as:
database administrator
average error
Sum
data visualization
6. Are a data mining technology.
data visualization
neural networks & Decision Trees
MAE (Mean Absolute Error) deviation
Cartesian
7. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
performance metrics - Numeric Prediction
Association
near-line secondary storage devices
MAE (Mean Absolute Error) deviation
8. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
Fact or Measurement table
Top-down approach
groves law
artificial Key
9. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
dimension
UNION
semantic object
decile chart
10. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
Scope creep
measuring predictive error
numeric prediction
neural networks & Decision Trees
11. Which statement will take away user privileges to the database?
changing/UPDATE-ing
recognizing known patterns
performance metrics - Numeric Prediction
Revoke
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
ERD Modeling
Sum
semantic object (SOL) attribute
13. Which of the following is at the center of a star schema?
Top-down approach
numeric prediction
project readiness assessment factor
Fact or Measurement table
14. Which clause would be used to create groups of records?
artificial Key
average error
Group By
Breakeven analysis
15. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
Top-down approach
average error
recognizing known patterns
Association
16. ___________ is not a characteristic of a data warehouse.
volatile data
artificial Key
Cartesian
semantic object
17. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
average error
association semantic object
composite semantic objects
the relationship
18. The product of two tables is also called the ________ product.
operational and external layer
The degree of granularity
Cartesian
Count
19. ___________ determines exactly what level of detail constitutes a fact record.
drill-across report
the relationship
The degree of granularity
Fact or Measurement table
20. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
n
near-line secondary storage devices
cascading delete
maximum
21. A _____________ is a system-generated primary key.
drill-across report
Sum
surrogate key
cascading delete
22. 'Signatures' are used for intrusion detection by _______?
Group By
Transformation
recognizing known patterns
volatile data
23. 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.
lift charts
OLAP
data mining
cascading delete
24. An ___________ relates two other objects.
association semantic object
recognizing known patterns
Horizontal integration
machine learning
25. To add a new row to a table - use the _____ command.
semantic object (SOL) attribute
MOLAP
measuring predictive error
Insert
26. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
changing/UPDATE-ing
measuring predictive error
data mart
The degree of granularity
27. 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
PRIMARY KEY (CustomerNum)
volatile data
Sum
28. The SQL command for deleting the Warehouse field from the Part table is _____.
OLAP
market basket analysis
data mart
ALTER TABLE Part DELETE Warehouse;
29. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
aggregate
PRIMARY KEY (CustomerNum)
measuring predictive error
ERD Modeling
30. 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.
average error
UNION
data mining
maximum
31. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
Referential integrity
maximum
artificial Key
OLAP
32. These are considered an alternate storage techniques for data warehousing include.
DROP TABLE Salesrep;
Cartesian
performance metrics - Numeric Prediction
near-line secondary storage devices
33. When an entity has a minimum cardinality of one it means the entity is required in _______.
data visualization
Scope creep
Transformation
the relationship
34. 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)
surrogate key
database administrator
measuring predictive error
principle component analysis
35. _________ 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.
Regression analysis
Horizontal integration
Document Analyzer
Group By
36. This is not considered one of the four major categories of processing algorithms and rule approaches.
Transformation
semantic object (SOL) attribute
artificial Key
principle component analysis
37. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
MOLAP
volatile data
degrees of summarization
machine learning
38. Which statement removes the table Salesrep from a DBMS?
measuring predictive error
Scope creep
DROP TABLE Salesrep;
degrees of summarization
39. Which function should be used to calculate the total of all entries in a given column?
Association
Sum
Horizontal integration
Breakeven analysis
40. A synonym for data mining
data visualization
knowledge data discovery
association semantic object
recognizing known patterns
41. Information about tables in the database is kept in the _____.
system catalog
ERD Modeling
lift charts
neural networks & Decision Trees
42. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
drill-across report
Count
PRIMARY KEY (CustomerNum)
numeric prediction
43. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
surrogate key
PRIMARY KEY (CustomerNum)
knowledge data discovery
UNION
44. An economic feasibility measure. So is Internal rate of return.
operational and external layer
lift charts
drill-across report
Breakeven analysis
45. Gives us an idea of the magnitude of errors. Actual value - estimated value.
association semantic object
ERD Modeling
MAE (Mean Absolute Error) deviation
Referential integrity
46. A ___________ combines result sets from more than one fact table.
project readiness assessment factor
machine learning
drill-across report
PRIMARY KEY (CustomerNum)
47. A compound semantic object is an object that contains at least one ____.
knowledge data discovery
semantic object (SOL) attribute
changing/UPDATE-ing
Count
48. 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
numeric prediction
near-line secondary storage devices
49. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
ERD Modeling
machine learning
changing/UPDATE-ing
Association
50. Twice as likely to identify the important class (compared to avg. prevalence)
decile chart
Revoke
DROP TABLE Salesrep;
system catalog