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