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 Warehousing
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 visual display of the most important information needed by a particular user
Analytical applications
Dashboard
Business query tool
Parallel partitioning
2. Look-up tables referred to by fact tables
Drilling across
Data mart
Snowflake schema
Dimension table
3. Make changes to data so that it is compatible with a new database
Transform
Hub and spoke Architecture
Dimension table
Population
4. Most famous data warehouse where a maintable infastructure includes a centralized data warehouse that serves for the needs of all organizational units (most favored 39 percent)
Transform
Hub and spoke Architecture
Back end
Enterprise Information Management
5. Third stage of the data warehouse data architecture design process
Operational BI
Data mart design
Choose the dimensions
Business query tool
6. The operational systems - data warehouse and data marts
Back end
Dashboard
Conformed dimensions
Front end
7. Tables containing summary records calculated from the main fact tables
Fact grain
Star schema
Aggregate tables
Independent data marts
8. A logical design technique that presents data in a way that is optimised for high-performance access
Parallel processing and/or partitioning
Analytical applications
Dimensional modelling
OLAP
9. The business applications
Snowflake schema
Front end
Extract
Constellation
10. Online Analytical Processing
Back end
Enterprise Information Management
Snowflake schema
OLAP
11. These extend BI into automating and optimising processes
Independent data mart
Analytical applications
Data mart
Design
12. A summary record for a specific reporting period
OLAP
Snapshot
Production report
Data mart
13. Dimensions which are shared by two or more facts
Conformed dimensions
Dimension table
Master data
Fact table
14. Allows multiple CPUs to process multiple queries simultaneously - providing scalability.
Parallel partitioning
Data mart bus architecture
Fact grain
Analytical applications
15. An alternative term for a data warehouse
Enterprise Information Management
Choose the dimensions
Extract
Load
16. Fifth stage of building a data mart
Transform
Define the users
Maintenance
Metadata
17. Fourth stage of building a data mart
Dimensional modelling
ETL
Fact grain
Accessing
18. Fourth stage of the data warehouse data architecture design process
Fact table
Translation table
Star schema
Choose the facts
19. A schema where dimensions are only connected to facts
Star schema
Analytical applications
Data mart design
Production report
20. Second stage of the data warehouse data architecture design process
Conformed dimensions
Population
Business Intelligence
Define the grain
21. A daily snapshot for each day of a set period
Population
Parallel partitioning
Current rolling snapshot
Production report
22. Used to support day-to-day operations
Fact table
Dependent data mart
Operational BI
Back end
23. Third stage of building a data mart
Parallel processing and/or partitioning
Choose the dimensions
Population
Production report
24. A simplified form of a data warehouse supporting the work of a single line of business
Conformed dimensions
Data mart
ELT
Transaction
25. Draws data from operational or external systems
Operational BI
Choose the dimensions
Parallel processing and/or partitioning
Independent data mart
26. A system that allows people to access and analyse data for business management and performance improvement
ELT
Business Intelligence
Load
Current rolling snapshot
27. First stage of building a data mart
Design
Extract
Parallel processing and/or partitioning
Current rolling snapshot
28. A query created by a BI user
Maintenance
Ad hoc query
Data mart bus architecture
Choose the facts
29. Splitting data tables into smaller tables for efficient access.
Transform
Analytical applications
Partioning
Decision Support
30. Import data into a new database
Extract
Load
Back end
Production report
31. The level of detail required for a fact to be useful
Star schema
Ad hoc query
Back end
Fact grain
32. An operational system that provides data for a business information system
Drilling down
Load
Source system
Constellation
33. Data accessible to the whole data warehouse
Parallel processing and/or partitioning
Dependent data mart
Operational system
Master data
34. Take data from a source system
Extract
Transaction
Hub and spoke Architecture
Master Data Management
35. Requesting information about related facts
Transform
Independent data marts
Current rolling snapshot
Drilling across
36. All database architectural fall into one of these two categories: EDW or _________ (independent data marts - data mart bus architecture - hub and spoke architecture - centralized data warehouse - federated data warehouse)
Choose the facts
Data mart design
Constellation
Dashboard
37. Issues to consider when deciding EDW architecture: 1. Which database management system (DBMS) should be used? (ex: Crash Data" MS SQL) 2. Will ______________________ be used? 3. Will data migration tools be used to load the data warehouse?4. What too
Back end
Source system
Parallel processing and/or partitioning
Drilling across
38. A database table that maps (e.g.) manufacturing product IDs to sales product IDs
Star schema
Production report
Translation table
Parallel processing and/or partitioning
39. Extract - Transform and Load
Conformed dimensions
Front end
ETL
Extract
40. Requesting more information about a particular fact
Metadata
Drilling down
Choose the facts
Analytical applications
41. A group of related fact tables
Independent data mart
Snowflake schema
Business Intelligence
Family
42. A computer system used to support the day-to-day operations of an organisation
Operational system
Master Data Management
ELT
Snapshot
43. simplest and least costly architecture developed to operate independently of each other - poor solution
Independent data marts
Conformed dimensions
Dimension table
Extract
44. A synonym for Business Intelligence
Population
Data mart design
Decision Support
Load
45. A group of conformed dimensions
Snowflake schema
Constellation
Data mart design
Population
46. Unlike independent data marts the marts are linked via middleware
Front end
Data mart
Independent data marts
Data mart bus architecture
47. A schema where dimensions may be connected to facts or to other dimensions
Business Intelligence
Snowflake schema
Define the grain
Data mart design
48. A report created by an IT department user
Master data
Back end
Enterprise Information Management
Production report
49. Extract - Load and Transform
ELT
Master data
Constellation
Define the grain
50. Business applications - methods and tools that support the caputre and use of master data
ETL
Master Data Management
Load
Fact grain