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