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