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