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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. Draws data from operational or external systems
Analytical applications
Independent data mart
Choose the dimensions
Snapshot
2. An operational system that provides data for a business information system
Source system
Data mart bus architecture
Master data
Business query tool
3. A group of related fact tables
ELT
Population
Conformed dimensions
Family
4. A database table that maps (e.g.) manufacturing product IDs to sales product IDs
Hub and spoke Architecture
Accessing
Translation table
Ad hoc query
5. Make changes to data so that it is compatible with a new database
Operational BI
Metadata
Transform
Design
6. Unlike independent data marts the marts are linked via middleware
Data mart bus architecture
Ad hoc query
Choose the facts
Transaction
7. First stage of the data warehouse data architecture design process
Define the users
Transform
Back end
Source system
8. The level of detail required for a fact to be useful
Star schema
Business query tool
Fact grain
Conformed dimensions
9. A schema where dimensions may be connected to facts or to other dimensions
Master data
Business query tool
Snowflake schema
Parallel processing and/or partitioning
10. Online Analytical Processing
Dimension table
OLAP
Hub and spoke Architecture
Aggregate tables
11. Take data from a source system
Aggregate tables
Production report
Drilling across
Extract
12. A logical design technique that presents data in a way that is optimised for high-performance access
Production report
Dimensional modelling
Business Intelligence
ELT
13. Requesting information about related facts
Transform
Hub and spoke Architecture
Master Data Management
Drilling across
14. A visual display of the most important information needed by a particular user
Population
Fact grain
Family
Dashboard
15. Extract - Transform and Load
Current rolling snapshot
Translation table
ETL
Conformed dimensions
16. Extract - Load and Transform
Drilling down
ELT
Accessing
Aggregate tables
17. Business applications - methods and tools that support the caputre and use of master data
Business query tool
Population
Master Data Management
Dimension table
18. simplest and least costly architecture developed to operate independently of each other - poor solution
Dependent data mart
Business Intelligence
ELT
Independent data marts
19. Second stage of the data warehouse data architecture design process
Define the grain
Drilling across
Star schema
Drilling down
20. A single low-level fact representing a single business operation
Data mart design
Metadata
Dimension table
Transaction
21. Third stage of the data warehouse data architecture design process
Dimension table
Choose the dimensions
ELT
Independent data mart
22. Draws data from a data warehouse
Analytical applications
Parallel partitioning
Dependent data mart
Extract
23. Used to support day-to-day operations
Transaction
ELT
Operational BI
Partioning
24. Requesting more information about a particular fact
Hub and spoke Architecture
ETL
Drilling down
Design
25. Splitting data tables into smaller tables for efficient access.
Define the users
Partioning
Business query tool
Conformed dimensions
26. A tool that allows users to write queries without having to learn SQL
Dashboard
Business query tool
Drilling down
Back end
27. 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)
Drilling down
Hub and spoke Architecture
Operational system
Snowflake schema
28. Data accessible to the whole data warehouse
ETL
Ad hoc query
Master data
Data mart design
29. Data about the data
Parallel processing and/or partitioning
Aggregate tables
Star schema
Metadata
30. Second stage of building a data mart
Define the users
Source system
Construction
Current rolling snapshot
31. 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)
Transaction
Front end
Business Intelligence
Data mart design
32. Fourth stage of building a data mart
Transaction
Data mart design
Hub and spoke Architecture
Accessing
33. A synonym for Business Intelligence
Decision Support
Business Intelligence
Partioning
ELT
34. Dimensions which are shared by two or more facts
Translation table
Population
Data mart design
Conformed dimensions
35. Third stage of building a data mart
OLAP
Constellation
Population
ETL
36. Look-up tables referred to by fact tables
Snowflake schema
Front end
Dimension table
Aggregate tables
37. A computer system used to support the day-to-day operations of an organisation
Family
Decision Support
Operational system
Extract
38. A simplified form of a data warehouse supporting the work of a single line of business
Dimensional modelling
Operational BI
Back end
Data mart
39. The business applications
Fact grain
Partioning
Operational BI
Front end
40. Tables containing summary records calculated from the main fact tables
Aggregate tables
Master Data Management
Transform
Population
41. These extend BI into automating and optimising processes
Constellation
Snapshot
Extract
Analytical applications
42. A query created by a BI user
Star schema
Ad hoc query
Decision Support
Source system
43. A system that allows people to access and analyse data for business management and performance improvement
Drilling down
Business Intelligence
OLAP
Choose the dimensions
44. Import data into a new database
Snowflake schema
Load
Define the grain
Extract
45. Allows multiple CPUs to process multiple queries simultaneously - providing scalability.
Business Intelligence
Fact grain
Data mart bus architecture
Parallel partitioning
46. The operational systems - data warehouse and data marts
Drilling down
Enterprise Information Management
Back end
Data mart bus architecture
47. Fourth stage of the data warehouse data architecture design process
Maintenance
Independent data mart
Extract
Choose the facts
48. First stage of building a data mart
Design
Business Intelligence
Decision Support
Drilling across
49. Fifth stage of building a data mart
Partioning
Maintenance
Fact grain
Dimension table
50. A group of conformed dimensions
Drilling across
Family
Constellation
Construction