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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. Extract - Transform and Load
Snowflake schema
Define the users
ETL
Fact grain
2. Business applications - methods and tools that support the caputre and use of master data
Accessing
Constellation
Analytical applications
Master Data Management
3. Third stage of the data warehouse data architecture design process
Construction
Independent data mart
Choose the dimensions
Constellation
4. A computer system used to support the day-to-day operations of an organisation
Enterprise Information Management
Constellation
Operational system
Parallel processing and/or partitioning
5. Requesting information about related facts
ELT
Decision Support
Accessing
Drilling across
6. Requesting more information about a particular fact
Transaction
Drilling down
Translation table
Analytical applications
7. A logical design technique that presents data in a way that is optimised for high-performance access
Dimensional modelling
Star schema
Front end
Load
8. A synonym for Business Intelligence
Enterprise Information Management
Transform
Decision Support
OLAP
9. A group of conformed dimensions
Business Intelligence
Constellation
Enterprise Information Management
ETL
10. Look-up tables referred to by fact tables
Master Data Management
Front end
Load
Dimension table
11. Third stage of building a data mart
Independent data mart
Extract
Hub and spoke Architecture
Population
12. Tables containing summary records calculated from the main fact tables
Data mart design
Aggregate tables
Construction
Fact table
13. Draws data from operational or external systems
Independent data mart
Family
Translation table
Ad hoc query
14. Data accessible to the whole data warehouse
Dimension table
Aggregate tables
ETL
Master data
15. Second stage of building a data mart
Partioning
Construction
Family
Choose the facts
16. A query created by a BI user
Load
ELT
Ad hoc query
Fact grain
17. The level of detail required for a fact to be useful
Star schema
Drilling down
Fact grain
OLAP
18. Splitting data tables into smaller tables for efficient access.
Dashboard
Data mart design
Partioning
Analytical applications
19. Import data into a new database
Partioning
Load
Master data
ELT
20. The business applications
Star schema
Drilling down
Front end
Data mart
21. A schema where dimensions are only connected to facts
Parallel partitioning
Star schema
ELT
Define the grain
22. An operational system that provides data for a business information system
Maintenance
Source system
Operational system
Analytical applications
23. Dimensions which are shared by two or more facts
Conformed dimensions
Drilling down
Accessing
Family
24. A visual display of the most important information needed by a particular user
Dashboard
Aggregate tables
ETL
Population
25. A report created by an IT department user
Parallel processing and/or partitioning
Partioning
Production report
Parallel partitioning
26. An alternative term for a data warehouse
Enterprise Information Management
Define the grain
Fact table
Master Data Management
27. Allows multiple CPUs to process multiple queries simultaneously - providing scalability.
Parallel partitioning
Operational system
Snowflake schema
Analytical applications
28. A tool that allows users to write queries without having to learn SQL
Business query tool
OLAP
Translation table
Decision Support
29. A schema where dimensions may be connected to facts or to other dimensions
Independent data marts
Fact grain
Snowflake schema
Choose the facts
30. Extract - Load and Transform
ETL
Data mart
ELT
Fact grain
31. A group of related fact tables
Family
Snapshot
Front end
Production report
32. A system that allows people to access and analyse data for business management and performance improvement
Define the grain
Business Intelligence
Hub and spoke Architecture
Extract
33. Fourth stage of the data warehouse data architecture design process
Snapshot
Choose the facts
Snowflake schema
Drilling down
34. Online Analytical Processing
Design
OLAP
Parallel partitioning
Front end
35. First stage of the data warehouse data architecture design process
Conformed dimensions
Define the users
Aggregate tables
Translation table
36. Make changes to data so that it is compatible with a new database
Population
Transform
Source system
Data mart bus architecture
37. simplest and least costly architecture developed to operate independently of each other - poor solution
Operational system
Star schema
Independent data marts
Independent data mart
38. These extend BI into automating and optimising processes
Master Data Management
Business query tool
Analytical applications
Extract
39. Data about the data
Data mart bus architecture
Metadata
Business query tool
ELT
40. Take data from a source system
Enterprise Information Management
ELT
Extract
Dimension table
41. 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)
Population
Hub and spoke Architecture
Load
Dashboard
42. Unlike independent data marts the marts are linked via middleware
Data mart
Data mart bus architecture
Independent data marts
Hub and spoke Architecture
43. Draws data from a data warehouse
Independent data marts
Hub and spoke Architecture
Parallel processing and/or partitioning
Dependent data mart
44. A table containing foreign keys and values
Business query tool
OLAP
Fact table
Data mart bus architecture
45. First stage of building a data mart
Front end
Parallel partitioning
Ad hoc query
Design
46. Used to support day-to-day operations
Dimension table
Operational system
Operational BI
Drilling across
47. Second stage of the data warehouse data architecture design process
Dimensional modelling
Source system
Data mart bus architecture
Define the grain
48. The operational systems - data warehouse and data marts
Snowflake schema
Data mart bus architecture
Data mart
Back end
49. Issues to consider when deciding EDW architecture: 1. Which database management system (DBMS) should be used? (ex: Crash Data" MS SQL) 2. Will ______________________ be used? 3. Will data migration tools be used to load the data warehouse?4. What too
Extract
Transform
Constellation
Parallel processing and/or partitioning
50. A database table that maps (e.g.) manufacturing product IDs to sales product IDs
Load
Translation table
Parallel partitioning
Snapshot