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