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