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