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