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