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