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