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