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