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