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