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