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. When an entity has a minimum cardinality of one it means the entity is required in _______.
aggregate
the relationship
Document Analyzer
ALTER TABLE Part DELETE Warehouse;
2. 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 ________________.
data visualization
Horizontal integration
knowledge data discovery
transformation mapping
3. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
artificial Key
neural networks & Decision Trees
Scope creep
ERD Modeling
4. ___________ is not a characteristic of a data warehouse.
Insert
knowledge data discovery
Horizontal integration
volatile data
5. Which function calculates the number of entries in a table?
dimension
Count
aggregate
machine learning
6. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
drill-across report
Referential integrity
cascading delete
PRIMARY KEY (CustomerNum)
7. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
semantic object
aggregate
Transformation
groves law
8. An economic feasibility measure. So is Internal rate of return.
Transformation
Breakeven analysis
semantic object (SOL) attribute
n
9. The SQL command for deleting the Warehouse field from the Part table is _____.
The degree of granularity
cascading delete
ALTER TABLE Part DELETE Warehouse;
semantic object
10. 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
principle component analysis
DROP TABLE Salesrep;
artificial Key
11. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
MOLAP
ALTER TABLE Part DELETE Warehouse;
degrees of summarization
Count
12. Information about tables in the database is kept in the _____.
principle component analysis
Regression analysis
system catalog
market basket analysis
13. 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.
aggregate
Regression analysis
composite semantic objects
UNION
14. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
neural networks & Decision Trees
recognizing known patterns
machine learning
cascading delete
15. Gives us an idea of the magnitude of errors. Actual value - estimated value.
the relationship
MAE (Mean Absolute Error) deviation
Top-down approach
Fact or Measurement table
16. Which statement will take away user privileges to the database?
The degree of granularity
Revoke
near-line secondary storage devices
Association
17. A synonym for data mining
Into
artificial Key
volatile data
knowledge data discovery
18. Which clause would be used to create groups of records?
Group By
the relationship
data mart
Revoke
19. A ___________ combines result sets from more than one fact table.
drill-across report
The degree of granularity
artificial Key
lift charts
20. Are a data mining technology.
Sum
neural networks & Decision Trees
association semantic object
The degree of granularity
21. Which statement removes the table Salesrep from a DBMS?
MAE (Mean Absolute Error) deviation
cascading delete
Insert
DROP TABLE Salesrep;
22. Twice as likely to identify the important class (compared to avg. prevalence)
changing/UPDATE-ing
decile chart
operational and external layer
artificial Key
23. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
OLAP
Horizontal integration
data mart
aggregate
24. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
maximum
degrees of summarization
operational and external layer
Insert
25. ___________________ 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
aggregate
decile chart
transformation mapping
26. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
machine learning
dimension
Group By
measuring predictive error
27. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
principle component analysis
semantic object
PRIMARY KEY (CustomerNum)
Group By
28. 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)
Horizontal integration
semantic object (SOL) attribute
near-line secondary storage devices
measuring predictive error
29. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
knowledge data discovery
lift charts
The degree of granularity
semantic object
30. The deletion of a record that also deletes related records is referred to as a(n) _____.
cascading delete
ERD Modeling
market basket analysis
PRIMARY KEY (CustomerNum)
31. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
Transformation
drill-across report
surrogate key
Insert
32. Which of the following is at the center of a star schema?
degrees of summarization
Fact or Measurement table
OLAP
composite semantic objects
33. 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.
volatile data
OLAP
Top-down approach
surrogate key
34. Which function should be used to calculate the total of all entries in a given column?
knowledge data discovery
Sum
Cartesian
PRIMARY KEY (CustomerNum)
35. An ___________ relates two other objects.
association semantic object
The degree of granularity
Into
cascading delete
36. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
maximum
UNION
performance metrics - Numeric Prediction
Association
37. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
data visualization
Document Analyzer
Into
transformation mapping
38. You can save the results of a query as a table by including the _____ clause in the query.
artificial Key
Into
MOLAP
recognizing known patterns
39. The process by which numerical data is converted into graphical images is referred to as:
DROP TABLE Salesrep;
data visualization
performance metrics - Numeric Prediction
the relationship
40. 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:
market basket analysis
project readiness assessment factor
MOLAP
data mart
41. An analytical-oriented organizational structure is a data warehouse _____________.
cascading delete
project readiness assessment factor
recognizing known patterns
volatile data
42. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
semantic object
semantic object (SOL) attribute
maximum
average error
43. 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
Referential integrity
principle component analysis
volatile data
lift charts
44. The product of two tables is also called the ________ product.
measuring predictive error
Cartesian
surrogate key
MAE (Mean Absolute Error) deviation
45. ___________ determines exactly what level of detail constitutes a fact record.
dimension
performance metrics - Numeric Prediction
Breakeven analysis
The degree of granularity
46. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
Revoke
changing/UPDATE-ing
MOLAP
average error
47. _________ 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.
dimension
MOLAP
Horizontal integration
project readiness assessment factor
48. 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
Fact or Measurement table
the relationship
market basket analysis
49. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
DROP TABLE Salesrep;
Fact or Measurement table
Insert
data mining
50. These are considered an alternate storage techniques for data warehousing include.
near-line secondary storage devices
Revoke
Group By
ALTER TABLE Part DELETE Warehouse;
Sorry!:) No result found.
Can you answer 50 questions in 15 minutes?
Let me suggest you:
Browse all subjects
Browse all tests
Most popular tests
Major Subjects
Tests & Exams
AP
CLEP
DSST
GRE
SAT
GMAT
Certifications
CISSP go to https://www.isc2.org/
PMP
ITIL
RHCE
MCTS
More...
IT Skills
Android Programming
Data Modeling
Objective C Programming
Basic Python Programming
Adobe Illustrator
More...
Business Skills
Advertising Techniques
Business Accounting Basics
Business Strategy
Human Resource Management
Marketing Basics
More...
Soft Skills
Body Language
People Skills
Public Speaking
Persuasion
Job Hunting And Resumes
More...
Vocabulary
GRE Vocab
SAT Vocab
TOEFL Essential Vocab
Basic English Words For All
Global Words You Should Know
Business English
More...
Languages
AP German Vocab
AP Latin Vocab
SAT Subject Test: French
Italian Survival
Norwegian Survival
More...
Engineering
Audio Engineering
Computer Science Engineering
Aerospace Engineering
Chemical Engineering
Structural Engineering
More...
Health Sciences
Basic Nursing Skills
Health Science Language Fundamentals
Veterinary Technology Medical Language
Cardiology
Clinical Surgery
More...
English
Grammar Fundamentals
Literary And Rhetorical Vocab
Elements Of Style Vocab
Introduction To English Major
Complete Advanced Sentences
Literature
Homonyms
More...
Math
Algebra Formulas
Basic Arithmetic: Measurements
Metric Conversions
Geometric Properties
Important Math Facts
Number Sense Vocab
Business Math
More...
Other Major Subjects
Science
Economics
History
Law
Performing-arts
Cooking
Logic & Reasoning
Trivia
Browse all subjects
Browse all tests
Most popular tests