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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 group of conformed dimensions
Load
Analytical applications
Constellation
Parallel partitioning
2. Requesting more information about a particular fact
Design
Drilling down
Drilling across
Independent data marts
3. Take data from a source system
Data mart design
Source system
Drilling down
Extract
4. A synonym for Business Intelligence
Decision Support
Design
Choose the dimensions
Production report
5. A visual display of the most important information needed by a particular user
Define the grain
Enterprise Information Management
Dashboard
Decision Support
6. Extract - Load and Transform
Analytical applications
Data mart design
Operational BI
ELT
7. A report created by an IT department user
Source system
Partioning
Production report
Parallel partitioning
8. Third stage of the data warehouse data architecture design process
Independent data marts
Snapshot
Parallel processing and/or partitioning
Choose the dimensions
9. An alternative term for a data warehouse
Business query tool
Constellation
Decision Support
Enterprise Information Management
10. Import data into a new database
Drilling across
Back end
Load
Aggregate tables
11. The level of detail required for a fact to be useful
Fact grain
OLAP
Dimensional modelling
Back end
12. Draws data from a data warehouse
Dashboard
Dependent data mart
Back end
Dimensional modelling
13. Business applications - methods and tools that support the caputre and use of master data
Define the users
Maintenance
Master Data Management
Transaction
14. The operational systems - data warehouse and data marts
Drilling across
Construction
Drilling down
Back end
15. 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)
Drilling down
Construction
Transaction
Hub and spoke Architecture
16. A table containing foreign keys and values
Dimensional modelling
Fact table
Transaction
Choose the dimensions
17. A database table that maps (e.g.) manufacturing product IDs to sales product IDs
Load
Enterprise Information Management
Master Data Management
Translation table
18. Fifth stage of building a data mart
Maintenance
Enterprise Information Management
Business query tool
Population
19. A query created by a BI user
Data mart design
Source system
Ad hoc query
Data mart bus architecture
20. Online Analytical Processing
OLAP
Translation table
Design
Define the users
21. A system that allows people to access and analyse data for business management and performance improvement
Operational system
ELT
Hub and spoke Architecture
Business Intelligence
22. Third stage of building a data mart
Dependent data mart
Data mart bus architecture
Population
Decision Support
23. Second stage of the data warehouse data architecture design process
Design
Define the grain
Snowflake schema
Dimension table
24. A schema where dimensions are only connected to facts
Business query tool
Front end
Dependent data mart
Star schema
25. A logical design technique that presents data in a way that is optimised for high-performance access
Drilling across
Snowflake schema
Hub and spoke Architecture
Dimensional modelling
26. Splitting data tables into smaller tables for efficient access.
Dashboard
Decision Support
Partioning
Family
27. An operational system that provides data for a business information system
Conformed dimensions
Source system
Business query tool
Master data
28. simplest and least costly architecture developed to operate independently of each other - poor solution
Drilling down
Conformed dimensions
Independent data marts
Dependent data mart
29. Extract - Transform and Load
Dependent data mart
Ad hoc query
ETL
Dimensional modelling
30. Used to support day-to-day operations
Star schema
OLAP
Translation table
Operational BI
31. A schema where dimensions may be connected to facts or to other dimensions
Decision Support
Transaction
Dependent data mart
Snowflake schema
32. 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
Partioning
Accessing
Constellation
33. A daily snapshot for each day of a set period
Current rolling snapshot
Drilling down
Business Intelligence
Front end
34. Requesting information about related facts
Extract
Drilling across
Enterprise Information Management
Family
35. First stage of the data warehouse data architecture design process
Decision Support
Partioning
Define the users
Load
36. Second stage of building a data mart
Master Data Management
Define the grain
Extract
Construction
37. A summary record for a specific reporting period
Metadata
Constellation
Dimensional modelling
Snapshot
38. Draws data from operational or external systems
Star schema
Snowflake schema
Independent data mart
Dimension table
39. A group of related fact tables
Snapshot
ELT
Family
Parallel partitioning
40. Unlike independent data marts the marts are linked via middleware
Production report
Dependent data mart
Data mart bus architecture
Dimensional modelling
41. These extend BI into automating and optimising processes
Dimension table
Snowflake schema
Analytical applications
Family
42. Fourth stage of the data warehouse data architecture design process
Choose the facts
Data mart
Operational system
Production report
43. A simplified form of a data warehouse supporting the work of a single line of business
Dependent data mart
Data mart
Drilling across
Dimensional modelling
44. The business applications
Parallel processing and/or partitioning
Define the grain
Drilling across
Front end
45. Data accessible to the whole data warehouse
Drilling across
Snowflake schema
Data mart design
Master data
46. Look-up tables referred to by fact tables
Population
Dimension table
Business query tool
Metadata
47. Dimensions which are shared by two or more facts
Parallel partitioning
Conformed dimensions
Decision Support
Independent data marts
48. Allows multiple CPUs to process multiple queries simultaneously - providing scalability.
Parallel partitioning
Population
Hub and spoke Architecture
Accessing
49. Tables containing summary records calculated from the main fact tables
Aggregate tables
Operational system
Choose the facts
Dashboard
50. Make changes to data so that it is compatible with a new database
Population
Transform
Dashboard
Parallel processing and/or partitioning