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