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