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