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