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