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