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