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