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