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