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