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