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