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