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